{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Reka AI analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/reka","json_url":"https://onlylabs.fyi/analysis/reka/evidence.json","generated_at":"2026-06-13T13:16:27.096Z","org":{"slug":"reka","name":"Reka AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/reka"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":51,"web":0,"evidence":79,"signal_desks":{"hiring":7,"forks":7,"releases":21,"talking":0,"repos":16},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Member of Technical Staff (Machine Learning Engineer)","date":"2026-06-12T07:03:55.322001+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1","signal_url":null,"signal_json_url":null,"text":"# Member of Technical Staff (Machine Learning Engineer)\n\nTeam: AI Engineering\n\nLocation: Remote\n\nEmployment type: FullTime\n\nWorkplace type: Remote\n\nRemote: yes\n\nPublished: 2026-06-11T11:22:00.639+00:00\n\nWhat You’ll Do\n\n- Translate cutting-edge research into production-ready machine learning systems\n\n- Design, build, and deploy end-to-end ML models and pipelines\n\n- Develop and optimize models for image and video processing\n\n- Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment\n\n- Rapidly prototype using open-source models and adapt them for product needs\n\n- Conduct experiments, analyze results, and iterate to improve performance\n\n- Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale\n\n- Participate with advancements in machine learning and apply them to continuously improve products\n\nWhat We’re Looking For\nRequired Qualifications\n\n- MS/PhD in Computer Science, Electrical Engineering, or related field\n\n- Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)\n\n- 5+ years of experience in Python and proficiency in Java, C++, or Scala\n\n- Strong understanding of diffusion models\n\n- Strong understanding of multi-threading and memory management\n\n- Solid knowledge of ML architectures: CNNs and Transformers\n\n- Experience with PyTorch or TensorFlow\n\n- Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications\n\n- Experience deploying ML models in cloud environments (AWS preferred)\n\n- Experience with experiment tracking systems and ML workflows\n\nNice to Have\n\n- Experience in low level optimisation, cuda etc.\n\n- Experience productionizing and scaling ML models in real-world systems\n\n- Contributions to open-source projects\n\n- Experience with MLOps tools or distributed training systems\n\n- Familiarity with relational databases (Postgres/MySQL)\n\n- Experience handling large-scale data using tools like Spark\n\nReka's Mission\n\nReka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundati"},{"ref":"P2","kind":"page","title":"reka-ai/colab repository metadata","date":"2026-06-11T03:20:31.566405+00:00","date_source":null,"source_url":"https://github.com/reka-ai/colab","signal_url":null,"signal_json_url":null,"text":"# reka-ai/colab\n\nDescription: Public demo Colab\n\nLanguage: Jupyter Notebook\n\nStars: 1\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-09-12T13:36:28Z\n\nPushed: 2023-10-03T21:31:25Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME: none published or not readable through the GitHub API."},{"ref":"P3","kind":"page","title":"reka-ai/reka-vibe-eval repository metadata","date":"2026-06-11T03:20:31.506292+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-vibe-eval","signal_url":null,"signal_json_url":null,"text":"# reka-ai/reka-vibe-eval\n\nDescription: Multimodal language model benchmark, featuring challenging examples\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 187\n\nForks: 12\n\nOpen issues: 3\n\nCreated: 2024-05-01T08:41:27Z\n\nPushed: 2024-12-18T19:27:52Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Vibe-Eval\n\n[![main](https://github.com/reka-ai/reka-vibe-eval/actions/workflows/actions.yml/badge.svg)](https://github.com/reka-ai/reka-vibe-eval/actions/workflows/actions.yml)\n\nA benchmark for evaluating multimodal chat models, including especially challenging examples.\n\n[[Link to paper]](https://publications.reka.ai/reka-vibe-eval.pdf) [[Blogpost]](https://www.reka.ai/news/vibe-eval) [[🤗 Dataset]](https://huggingface.co/datasets/RekaAI/VibeEval)\n\n![Example from the dataset](figure.png)\n\n## Dataset\n\nThe dataset including all images can be downloaded [in the Releases page of this repo](https://github.com/reka-ai/reka-vibe-eval/releases/tag/v1.0.0).\n\nThe dataset is stored as a JSONL file: [data/vibe-eval.v1.jsonl](data/vibe-eval.v1.jsonl).\nEach example has the following fields:\n\n- **example_id**: a unique ID for the example\n- **category**: the category that this example belongs to, either `difficulty-normal` or `difficulty-hard`\n- **prompt**: the user prompt\n- **reference**: a golden reference answer for the prompt\n- **media_filename**: the name of the file in the dataset\n- **media_url**: a URL where the file is hosted publicly\n\n## Leaderboard 🏆\n\nVibe-Eval Score (%)\n\n| Model | all | hard | normal|\n|---------------------|--------|-------|-------|\n| Gemini Flash 2.0 | 67.1 | 52.3 | 75.9 |\n| Claude 3.5 Sonnet | 66.0 | 54.0 | 73.1 |\n| GPT-4o | 64.7 | 52.3 | 72.0 |\n| Gemini-1.5 Pro | 63.8 | 52.3 | 70.6 |\n| GPT-4o-mini | 56.7 | 44.7 | 63.8 |\n| Reka Flash | 56.0 | 39.3† | 65.8 |\n| Pixtral Large | 55.1 | 43.0 | 62.3 |\n| Grok Vision Beta | 54.2 | 37.1 | 64.2 |\n| Gemini 1.5 Flash 8b | 54.1 | 44.8 | 59.6 |\n| Claude Opus | 52.8 | 41.8 | 59.2 |\n| Pixtral 12b | 52.5 | 39.3 | 60.4 |\n| Claude Haiku | 48.5 | 31.6 | 58.2 |\n\n† Note we expect the results of Reka models to be worse on the hard-set, as these are, by their very definition, prompts that Core cannot solve.\n\n## Running the"},{"ref":"P4","kind":"page","title":"reka-ai/reka-sdk-python repository metadata","date":"2026-06-11T03:20:30.993562+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python","signal_url":null,"signal_json_url":null,"text":"# reka-ai/reka-sdk-python\n\nDescription: Python SDK for the Reka AI API\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 18\n\nForks: 2\n\nOpen issues: 3\n\nCreated: 2024-05-20T15:48:30Z\n\nPushed: 2024-09-30T22:41:48Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka Python Library\n\n[![pypi](https://img.shields.io/pypi/v/reka-api)](https://pypi.org/project/reka-api/)\n[![fern shield](https://img.shields.io/badge/%F0%9F%8C%BF-SDK%20generated%20by%20Fern-brightgreen)](https://github.com/fern-api/fern)\n\nThe Reka Python Library provides convenient access to the Reka API from\napplications written in Python.\n\nThe library includes type definitions for all\nrequest and response fields, and offers both synchronous and asynchronous clients powered by httpx.\n\n## Installation\n\nAdd this dependency to your project's build file:\n\n```bash\npip install reka-api\n# or\npoetry add reka-api\n```\n\n## Usage\n\nYou need to add your API key for authentication. You can either do that directly when instantiating a\n`Reka` client, or by setting the `REKA_API_KEY` environment variable.\n\nThen simply import `Reka` and start making calls to our API.\n\n```python\nfrom reka import ChatMessage\nfrom reka.client import Reka\n\nclient = Reka(\napi_key=\"YOUR_API_KEY\",\n) # or just client = Reka() if set via env\n\nclient.chat.create(\nmessages=[\nChatMessage(\ncontent=\"What is the fifth prime number?\",\nrole=\"user\",\n)\n],\nmodel=\"reka-core-20240501\",\n)\n```\n\nor for multimodality you can do the following:\n\n```python\nclient.chat.create(\nmessages=[\nChatMessage(\nrole=\"user\",\ncontent=[\n{\n\"type\": \"video_url\":\n\"video_url\": \"https://fun_video\"\n},\n{\n\"type\": \"text\",\n\"text\": \"What is this video about?\"\n},\n],\n)\n],\nmodel=\"reka-core-20240501\",\n)\n```\n\nNote that the model should work best when you put media content before the text content.\n\n### Typing\n\nTo construct payloads you can either use the dedicated types like `ChatMessage` or construct directly from a dictionary like so:\n\n```python\nclient.chat.create(\nmessages=[\n{ \n\"role\": \"user\",\n\"content\": \"What is the fifth prime number?\"\n}\n],\nmodel=\"reka-core-20240501\",\n)\n```\n\n### V2 SDK\n\nIn case you have workloads running the previous version of our SDK, you can import it like this `import reka.v2"},{"ref":"P5","kind":"page","title":"reka-ai/rekaquant repository metadata","date":"2026-06-11T03:20:30.869793+00:00","date_source":null,"source_url":"https://github.com/reka-ai/rekaquant","signal_url":null,"signal_json_url":null,"text":"# reka-ai/rekaquant\n\nLanguage: Python\n\nStars: 63\n\nForks: 6\n\nOpen issues: 0\n\nCreated: 2025-07-02T10:11:47Z\n\nPushed: 2025-07-10T16:29:16Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka Quant\n[Reka Quant](https://reka.ai/news/reka-quantization-technology) is a model quantization library. It supports:\n- NF4 and GGML (llama.cpp) quantization primitives. GGML primitives are added directly from its source code through python cffi bindings, making it easy to incorporate new ones.\n- Exporting of GGML quantized models to native GGUF format, for easy integration with the existing ecosystem.\n- Activation-aware quantization by leveraging precomputed activation statistics from a text sample, through the LDLQ method from [QuIP](https://arxiv.org/pdf/2307.13304).\n- Further eror reduction through self-distillation from the BF16 model, while quantizing the network gradually.\n- Fast multi-node training through full or hybrid FSDP, as well as fast parallel proxy Hessian computation for LDLQ.\n\n# Installation\n\nClone the library with submodules:\n\n`git clone --recurse-submodules git@github.com:reka-ai/quantization.git`\n\nInstall requirements:\n\n`poetry install`\n\nBuild the shared library in csrc, needed for python bindings. \n```\ncd csrc\ngcc -shared -o quantize.so -fPIC quantize.c\ncd ..\n```\n\nExporting to GGUF formats requires a patch to the llama.cpp library, apply it and install the library.\n```\ncd third_party/llama.cpp\ngit apply ../../patches/RekaQuant.patch\ncmake -B build\ncmake --build build --config Release\ncd ../..\n```\n\n# Usage\n\nThe main script is `train.py`. The training data should be in jsonl format with documents in the \"text\" field.\n```\ntorchrun \\\n...distributed flags.. \\\npython3 src/train.py \\\n--model_path $model_path \\\n--ref_model $ref_model \\\n--out_path $out_path \\\n--train_data $train_data \\\n--hessian_corr 1e-1 \\\n--hessian_train_seq 4096 \\\n--total_train_steps 1800 \\\n--lr 1e-5 \\\n--global_batch_size 512 \\\n--seq_len 8192 \\\n--micro_batch_size 1 \\\n--checkpoint_iters 100 \\\n--valid_seq 64 \\\n--quant_strategy typewise_Q3_K_S \\\n--use_checkpointing \\\n```\n\nAn example slurm script can be found in [run_train.slurm](run_train.slurm):\n```\nexport REF_MODEL_PATH=/path/to/model\nex"},{"ref":"P6","kind":"page","title":"reka-ai/api-examples-typescript repository metadata","date":"2026-06-11T03:20:30.831728+00:00","date_source":null,"source_url":"https://github.com/reka-ai/api-examples-typescript","signal_url":null,"signal_json_url":null,"text":"# reka-ai/api-examples-typescript\n\nDescription: Examples to get started with Reka APIs using Typescript\n\nLanguage: TypeScript\n\nStars: 5\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-08-19T18:05:27Z\n\nPushed: 2026-04-13T21:03:48Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka API Examples with Typescript\n\n![Reka AI](assets/reka-ai-cover.jpeg)\n\n[![Join our Discord](assets/discord-invite.png)](https://link.reka.ai/discord)\n\nThis repository showcases how to use the **Reka Research** to build intelligent apps that can search the web, structure responses, and support reasoning. It’s designed to help developers learn how to integrate and use Reka Research with different tools and frameworks.\n\n## 📋 More Examples in Other Languages\n\n- [Reka api-examples with Python](https://github.com/reka-ai/api-examples)\n- [Reka api-examples with .NET](https://github.com/reka-ai/api-examples-dotnet)\n\n## 📚 What's in this repo\n\n| Folder/File | Description |\n|--------------------------------------------|----------------------------------------------------------------------------|\n| `reka-restaurants/` | App for researching and finding restaurants with Reka Research |\n\n## 🖥️ Getting Started (Typescript)\n\n1. **Install requirements** \n\nMake sure you have Node.js (version 18 or higher) and npm installed on your system.\n\n```bash\ncd typescript/reka-restaurants\nnpm install\n```\n\n2. **Get your Reka API Key** \n\nSign up at [Reka Platform](https://platform.reka.ai) and get your API key.\n\n3. **Set environment variable**\n\n```bash\nexport REKA_API_KEY=your_api_key_here\n```\n\n4. **Run the app**\n\n```bash\nnpm run build\nnpm start\n```\nOpen your browser and navigate to http://localhost:5173\n\n## 🧪 Why use this repo?\n\n- Learn how to use Reka Research with requests and OpenAI SDK\n- Build agents that can think step-by-step and cite sources\n- Learn to control structured outputs using `response_format`\n- Control domain scope and search behavior using `web_search` config\n\n## 🛠 Recommended Use Cases\n\n- Web search with control over allowed domains\n- Research agents with explainable reasoning steps\n\n## 🤝 Contributions\n\nIf you find a bug or would like to add a feature, check out those resources:\nCheck out o"},{"ref":"P7","kind":"page","title":"reka-ai/api-examples-python repository metadata","date":"2026-06-11T03:20:30.827173+00:00","date_source":null,"source_url":"https://github.com/reka-ai/api-examples-python","signal_url":null,"signal_json_url":null,"text":"# reka-ai/api-examples-python\n\nDescription: Examples to get started with Reka APIs using Python\n\nLanguage: HTML\n\nStars: 7\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2025-07-08T02:11:44Z\n\nPushed: 2026-03-05T16:40:33Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka API Examples\n\n[![Join our Discord](assets/discord-invite.png)](https://link.reka.ai/discord)\n\n![Reka AI](assets/reka-ai-cover.jpeg)\n\nThis repository showcases how to use the **Reka Research** to build intelligent apps that can search the web, structure responses, and support reasoning. It’s designed to help developers learn how to integrate and use Reka Research with different tools and frameworks.\n\n## 📋 More Examples in Other Languages\n\n- [Reka api-examples with TypeScript](https://github.com/reka-ai/api-examples-typescript)\n- [Reka api-examples with .NET](https://github.com/reka-ai/api-examples-dotnet)\n\n## 📚 What's in this repo\n\n| Example | Description |\n|---------------------------------------------------|----------------------------------------------------------------------------------------------------|\n| [notebook-openai/](/notebook-openai/README.md) | Example notebook using the OpenAI SDK to call the Reka API |\n| [notebook-request/](/notebook-request/README.md) | Example notebook using raw HTTP requests to call the Reka API |\n| [gradio/](/gradio/README.md) | Gradio app that streams responses and displays reasoning steps |\n| [streamlit/](/streamlit/README.md) | Streamlit app that streams responses and displays reasoning steps |\n| [event_finder/](/event_finder/README.md) | Streamlit app for researching and finding events with Reka Research |\n| [roast_my_life/](/roast_my_life/README.md) | A playful Python + Flask demo showcasing Reka Vision API to (nicely) roast the people in your videos |\n\n### 🧑‍💻 Workshops & Tutorials\n\n| Workshop & Tutorial | Description |\n|--------------------------------------------------------------|----------------------------------------------------------------------------------------------------|\n| [Roast my Life Workshop](/roast_my_life/workshop/README.md) | Build a fully functional AI-powered video roasting application using the Reka Vision API in a step-by-step"},{"ref":"P8","kind":"page","title":"reka-ai/reka-research-mcp repository metadata","date":"2026-06-11T03:20:30.695611+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-research-mcp","signal_url":null,"signal_json_url":null,"text":"# reka-ai/reka-research-mcp\n\nDescription: MCP server for fact-checking and similarity search using Reka Research API.\n\nLanguage: TypeScript\n\nStars: 6\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2025-07-31T05:02:23Z\n\nPushed: 2025-09-29T10:33:44Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka Research MCP Server\n\nA Model Context Protocol (MCP) server providing AI-powered fact-checking and similarity search using Reka Research API. This server is hosted remotely and ready to use - no local installation required!\n\n[![Join our Discord](assets/discord-invite.png)](https://link.reka.ai/discord)\n\n## Prerequisites\n\n- Get your Reka API key at [platform.reka.ai](https://platform.reka.ai)\n- Your API key should have access to `reka-flash-research` model\n\n## 🚀 Using the Hosted MCP Server\n\nThe Reka Research MCP server is hosted at `https://mcp-server-nine-bice.vercel.app/mcp` and ready to use. Simply configure your MCP client to connect to this endpoint.\n\n### Claude Desktop\n\nAdd this configuration to your Claude Desktop `claude_desktop_config.json` file:\n\n```jsonc\n{\n\"mcpServers\": {\n\"reka-research\": {\n\"command\": \"npx\",\n\"args\": [\n\"-y\",\n\"mcp-remote\",\n\"https://reka-research-mcp.vercel.app/mcp\",\n\"--header\",\n\"Authorization: Bearer $REKA_API_KEY\"\n],\n\"env\": {\n\"REKA_API_KEY\": \"<your-reka-api-key-here>\"\n}\n}\n}\n}\n```\n\n### VS Code with MCP Extension\n\nConfigure the MCP extension in VS Code by adding this to your settings:\n\n```jsonc\n{\n\"servers\": {\n\"reka-research\": {\n\"url\": \"https://mcp-server-nine-bice.vercel.app/mcp\",\n\"type\": \"http\", \n\"headers\": {\n\"Authorization\": \"Bearer ${input:reka-api-key}\"\n}\n}\n},\n\"inputs\": [\n{\n\"type\": \"promptString\",\n\"id\": \"reka-api-key\",\n\"description\": \"Reka API Key\",\n\"password\": true\n}\n]\n}\n```\n\n## 🛠️ Available Tools\n\n### `verify_claim`\n\nFact-check statements and claims using advanced AI analysis.\n\n- **Input**: `claim` (string) - The statement to verify\n- **Output**: JSON with verdict (true/false/uncertain), confidence score (0-1), and detailed reasoning\n\n**Example usage:**\n\n```\nCan you verify this claim: \"The Great Wall of China is visible from space with the naked eye\"\n```\n\n### `find_similar`\n\nFind similar items based on specific attributes using agentic an"},{"ref":"P9","kind":"page","title":"reka-ai/terminal-tools repository metadata","date":"2026-06-11T03:20:29.871068+00:00","date_source":null,"source_url":"https://github.com/reka-ai/terminal-tools","signal_url":null,"signal_json_url":null,"text":"# reka-ai/terminal-tools\n\nDescription: Command-line tools for interacting with the Reka AI API directly from your terminal\n\nLanguage: Shell\n\nLicense: MIT\n\nStars: 2\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-11-18T20:53:14Z\n\nPushed: 2025-11-19T20:32:50Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka Terminal Tools\n\n[![Join our Discord](https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white)](https://link.reka.ai/discord) [![Reka AI](https://img.shields.io/badge/Power%20By-2E2F2F?style=flat&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHN2ZyBpZD0iTGF5ZXJfMSIgZGF0YS1uYW1lPSJMYXllciAxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCA2NjYuOTQgNjgxLjI2Ij4KICA8ZGVmcz4KICAgIDxzdHlsZT4KICAgICAgLmNscy0xIHsKICAgICAgICBmaWxsOiBub25lOwogICAgICB9CgogICAgICAuY2xzLTIgewogICAgICAgIGZpbGw6ICNmMWVlZTc7CiAgICAgIH0KICAgIDwvc3R5bGU%2BCiAgPC9kZWZzPgogIDxyZWN0IGNsYXNzPSJjbHMtMSIgeD0iLS4yOSIgeT0iLS4xOSIgd2lkdGg9IjY2Ny4yMiIgaGVpZ2h0PSI2ODEuMzMiLz4KICA8Zz4KICAgIDxwYXRoIGNsYXNzPSJjbHMtMiIgZD0iTTMxOC4zNCwwTDgyLjY3LjE2QzM2Ljg1LjE5LS4yOSwzNy4zOC0uMjksODMuMjd2MjM1LjEyaDc0LjkzVjcxLjc1aDI0My43M1YwaC0uMDNaIi8%2BCiAgICA8cGF0aCBjbGFzcz0iY2xzLTIiIGQ9Ik03Mi45NywzNjIuOTdIMHYzMTguMTZoNzIuOTd2LTMxOC4xNloiLz4KICAgIDxwYXRoIGNsYXNzPSJjbHMtMiIgZD0iTTMxNS4zMywzNjIuODRoLTk5LjEzbC0xMDkuNSwxMDcuMjljLTEzLjk1LDEzLjY4LTIxLjgyLDMyLjM3LTIxLjgyLDUxLjkyczcuODYsMzguMjQsMjEuODIsNTEuOTJsMTA5LjUsMTA3LjI5aDEwMS42M2wtMTYyLjQ1LTE2MS43MiwxNTkuOTUtMTU2LjY3di0uMDNaIi8%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"},{"ref":"P10","kind":"page","title":"reka-ai/api-examples-dotnet repository metadata","date":"2026-06-11T03:20:29.684056+00:00","date_source":null,"source_url":"https://github.com/reka-ai/api-examples-dotnet","signal_url":null,"signal_json_url":null,"text":"# reka-ai/api-examples-dotnet\n\nDescription: Examples to get started with Reka APIs using .NET (C#) resources\n\nLanguage: C#\n\nStars: 13\n\nForks: 7\n\nOpen issues: 1\n\nCreated: 2025-08-29T18:22:54Z\n\nPushed: 2026-03-05T20:00:52Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka API Examples with .NET C#\n\n![Reka AI](assets/reka-ai-cover.jpeg)\n\n[![Join our Discord](assets/discord-invite.png)](https://link.reka.ai/discord)\n\nThis repository showcases how to use **Reka Research** and **Reka Vision** to build intelligent apps that can search the web, structure responses, and support reasoning. It’s designed to help developers learn how to integrate and use Reka Research with different tools and frameworks.\n\n## 📋 More Examples in Other Languages\n\n- [Reka api-examples with Python](https://github.com/reka-ai/api-examples)\n- [Reka api-examples with TypeScript](https://github.com/reka-ai/api-examples-typescript)\n\n## 📚 What's in this repo\n\n| Folder/File | Description |\n|----------------------------------------------------|-------------------------------------------------------------------------------|\n| [`csharp10-script/`](./csharp10-script/README.md) | Three ways to use C# 10 file-based (preview) without full projects via Reka APIs |\n| [`reka-restaurant/`](./reka-restaurant/README.md) | Restaurant search sample using Reka Deep Search with advanced features |\n| [`event-finder/`](./event-finder/README.md) | Find relevant tech events using Reka Research with web search and reasoning |\n| [`video-analyzer/`](./video-analyzer/README.md) | Get insights from videos using AI. Search across multiple videos or inspect one |\n\n## 🧪 Why use this repo?\n\n- Learn how to use Reka Research with raw HTTP requests and the OpenAI‑compatible SDK\n- Build agents that can think step-by-step and cite sources\n- Learn to control structured outputs using `response_format`\n- Control domain scope and search behavior using the `web_search` configuration\n\n## 🛠 Recommended Use Cases\n\n- Web search with control over allowed domains\n- Research agents with explainable reasoning steps\n- Video processing and analysis\n\n## 🤝 Contributions\n\nIf you find a bug or would like to add a feature, please read our "},{"ref":"P11","kind":"page","title":"reka-ai/reka-sdk-dotnet repository metadata","date":"2026-06-11T03:20:29.62103+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet","signal_url":null,"signal_json_url":null,"text":"# reka-ai/reka-sdk-dotnet\n\nDescription: A .NET SDK for Reka's AI APIs\n\nLanguage: C#\n\nLicense: MIT\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-11-21T13:40:08Z\n\nPushed: 2026-01-06T14:56:21Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Reka SDK for .NET\n\nOfficial .NET SDK for integrating Reka AI APIs into your .NET applications.\n\n## Installation\n\nInstall the package via NuGet:\n\n```bash\ndotnet add package Reka.SDK\n```\n\nOr via Package Manager Console:\n\n```powershell\nInstall-Package Reka.SDK\n```\n\n## Features\n\n- Easy-to-use .NET interface for Reka AI APIs\n- Support for API: chat and research\n- Strongly-typed responses and request models\n\n## Quick Start\n\n```csharp\nusing Reka.SDK;\n\n// Your code here to use the Reka SDK\n```\n\n## Requirements\n\n- .NET 9.0 or later\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Links\n\n- [GitHub Repository](https://github.com/reka-ai/reka-sdk-dotnet)\n- [Reka AI](https://reka.ai/)\n- [Reka API Documentation](https://docs.reka.ai/)\n- [Discord](https://link.reka.ai/discord)\n\n## Support\n\nFor issues, questions, or contributions, please visit the [GitHub Issues](https://github.com/fboucher/reka-sdk-dotnet/issues) page."},{"ref":"P12","kind":"page","title":"reka-ai/research-eval repository metadata","date":"2026-06-11T03:20:29.613409+00:00","date_source":null,"source_url":"https://github.com/reka-ai/research-eval","signal_url":null,"signal_json_url":null,"text":"# reka-ai/research-eval\n\nDescription: A benchmark to evaluate search-augmented LLMs\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 17\n\nForks: 2\n\nOpen issues: 1\n\nCreated: 2025-08-27T19:52:31Z\n\nPushed: 2025-08-28T22:10:54Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Research-Eval\n\nA benchmark to evaluate search-augmented LLMs.\n\nIn addition to the dataset, the repository provides a simple evaluation script that supports most frontier models out of the box (including Reka, Google, OpenAI, Perplexity, Anthropic, XAI, and Mistral).\n\nCheck out our [blogpost](https://reka.ai/news/introducing-research-eval-a-benchmark-for-search-augmented-llms) for more details.\n\n## Setup\n\nInstall dependencies as follows:\n```bash\npip install -r requirements.txt\n```\n\nAPI keys are read from environment variables, set them as needed:\n```bash\nexport REKA_API_KEY='YOUR_API_KEY'\nexport FIREWORKS_API_KEY='YOUR_API_KEY'\nexport GOOGLE_API_KEY='YOUR_API_KEY'\nexport OPENAI_API_KEY='YOUR_API_KEY'\nexport PERPLEXITY_API_KEY='YOUR_API_KEY'\nexport ANTHROPIC_API_KEY='YOUR_API_KEY'\nexport XAI_API_KEY='YOUR_API_KEY'\nexport MISTRAL_API_KEY='YOUR_API_KEY'\n```\nWe recommend setting all relevant environment variables in `.env`, which the evaluation code loads automatically.\n\nNot all API keys are required, only set the relevant ones for the models you want to evaluate. As the only exception, `FIREWORKS_API_KEY` is always required for scoring, as it is used to run the recommended `deepseek-v3-0324` judge.\n\n## Usage\n\n#### 1. Generate responses\n\n```bash\npython research-eval.py generate \\\n--api reka \\\n--model reka-flash-research \\\n--concurrency 20 \\\n-o experiments/reka-flash-research.out.jsonl\n```\n\n#### 2. Judge responses\n\n```bash\npython research-eval.py judge \\\n-i experiments/reka-flash-research.out.jsonl \\\n-o experiments/reka-flash-research.eval.jsonl\n```\n\nThis uses the `deepseek-v3-0324` model through Fireworks by default, which is our recommended judge. While other judge models can be used, we strongly discourage publishing results obtained with them, as this would make numbers non-comparable.\n\n#### 3. Report results\n\n```bash\npython research-eval.py report \\\n-i experiments/reka-flash-research.eval."},{"ref":"P13","kind":"page","title":"reka-ai/reka-vibe-eval v1.0.0","date":"2026-06-11T03:17:11.81401+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-vibe-eval/releases/tag/v1.0.0","signal_url":null,"signal_json_url":null,"text":"# Vibe Eval v1.0.0\n\nRepository: reka-ai/reka-vibe-eval\n\nTag: v1.0.0\n\nPublished: 2024-05-01T08:47:06Z\n\nPrerelease: no\n\nRelease notes:\n## Vibe Eval v1.0.0\n\nDownload containing images and a copy of the jsonl dataset file."},{"ref":"P14","kind":"page","title":"reka-ai/reka-sdk-python 3.0.7","date":"2026-06-11T03:17:11.759056+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python/releases/tag/3.0.7","signal_url":null,"signal_json_url":null,"text":"# 3.0.7\n\nRepository: reka-ai/reka-sdk-python\n\nTag: 3.0.7\n\nPublished: 2024-06-02T13:06:03Z\n\nPrerelease: no\n\nRelease notes: none published."},{"ref":"P15","kind":"page","title":"reka-ai/reka-sdk-python 3.0.8","date":"2026-06-11T03:17:11.553474+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python/releases/tag/3.0.8","signal_url":null,"signal_json_url":null,"text":"# 3.0.8\n\nRepository: reka-ai/reka-sdk-python\n\nTag: 3.0.8\n\nPublished: 2024-06-04T09:49:13Z\n\nPrerelease: no\n\nRelease notes: none published."},{"ref":"P16","kind":"page","title":"reka-ai/reka-sdk-python 3.1.0","date":"2026-06-11T03:17:11.545044+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python/releases/tag/3.1.0","signal_url":null,"signal_json_url":null,"text":"# 3.1.0\n\nRepository: reka-ai/reka-sdk-python\n\nTag: 3.1.0\n\nPublished: 2024-09-27T14:44:09Z\n\nPrerelease: no\n\nRelease notes: none published."},{"ref":"P17","kind":"page","title":"reka-ai/reka-sdk-python 3.1.1","date":"2026-06-11T03:17:11.521768+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python/releases/tag/3.1.1","signal_url":null,"signal_json_url":null,"text":"# 3.1.1\n\nRepository: reka-ai/reka-sdk-python\n\nTag: 3.1.1\n\nPublished: 2024-09-27T15:08:03Z\n\nPrerelease: no\n\nRelease notes: none published."},{"ref":"P18","kind":"page","title":"reka-ai/reka-sdk-python 3.2.0","date":"2026-06-11T03:17:11.247917+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-python/releases/tag/3.2.0","signal_url":null,"signal_json_url":null,"text":"# 3.2.0\n\nRepository: reka-ai/reka-sdk-python\n\nTag: 3.2.0\n\nPublished: 2024-09-30T22:41:48Z\n\nPrerelease: no\n\nRelease notes: none published."},{"ref":"P19","kind":"page","title":"reka-ai/reka-sdk-dotnet v0.1.2-beta","date":"2026-06-11T03:17:11.173935+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet/releases/tag/v0.1.2-beta","signal_url":null,"signal_json_url":null,"text":"# 0.1.2-beta\n\nRepository: reka-ai/reka-sdk-dotnet\n\nTag: v0.1.2-beta\n\nPublished: 2025-12-17T22:11:18Z\n\nPrerelease: yes\n\nRelease notes:\n## What's Changed\n* Adding vision and upgrade to .NET 10 by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/4\n\n**Full Changelog**: https://github.com/reka-ai/reka-sdk-dotnet/compare/v0.1.1...v0.1.2-beta"},{"ref":"P20","kind":"page","title":"reka-ai/reka-sdk-dotnet v0.1.0","date":"2026-06-11T03:17:11.118446+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet/releases/tag/v0.1.0","signal_url":null,"signal_json_url":null,"text":"# v0.1.0\n\nRepository: reka-ai/reka-sdk-dotnet\n\nTag: v0.1.0\n\nPublished: 2025-11-21T15:55:51Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Initial version by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/1\n\n## New Contributors\n* @fboucher made their first contribution in https://github.com/reka-ai/reka-sdk-dotnet/pull/1\n\n**Full Changelog**: https://github.com/reka-ai/reka-sdk-dotnet/commits/v0.1.0"},{"ref":"P21","kind":"page","title":"reka-ai/reka-sdk-dotnet v0.1.1","date":"2026-06-11T03:17:11.097157+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet/releases/tag/v0.1.1","signal_url":null,"signal_json_url":null,"text":"# v0.1.1\n\nRepository: reka-ai/reka-sdk-dotnet\n\nTag: v0.1.1\n\nPublished: 2025-11-21T18:53:25Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Updates NuGet package metadata. by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/2\n* Feat: Adds parsed content and location classes by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/3\n\n**Full Changelog**: https://github.com/reka-ai/reka-sdk-dotnet/compare/v0.1.0...v0.1.1"},{"ref":"P22","kind":"page","title":"reka-ai/reka-sdk-dotnet v0.1.3-beta","date":"2026-06-11T03:17:10.988922+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet/releases/tag/v0.1.3-beta","signal_url":null,"signal_json_url":null,"text":"# v0.1.3-beta\n\nRepository: reka-ai/reka-sdk-dotnet\n\nTag: v0.1.3-beta\n\nPublished: 2026-01-05T20:04:43Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Feat: Adds package icon by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/5\n\n**Full Changelog**: https://github.com/reka-ai/reka-sdk-dotnet/compare/v0.1.2-beta...v0.1.3-beta"},{"ref":"P23","kind":"page","title":"reka-ai/reka-sdk-dotnet v0.1.4-beta","date":"2026-06-11T03:17:10.731604+00:00","date_source":null,"source_url":"https://github.com/reka-ai/reka-sdk-dotnet/releases/tag/v0.1.4-beta","signal_url":null,"signal_json_url":null,"text":"# v0.1.4-beta\n\nRepository: reka-ai/reka-sdk-dotnet\n\nTag: v0.1.4-beta\n\nPublished: 2026-01-06T14:56:21Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Add icon and start including docs by @fboucher in https://github.com/reka-ai/reka-sdk-dotnet/pull/6\n\n**Full Changelog**: https://github.com/reka-ai/reka-sdk-dotnet/compare/v0.1.3-beta...v0.1.4-beta"},{"ref":"P24","kind":"page","title":"reka-ai/vllm-reka v0.17.0","date":"2026-06-11T03:17:10.654372+00:00","date_source":null,"source_url":"https://github.com/reka-ai/vllm-reka/releases/tag/v0.17.0","signal_url":null,"signal_json_url":null,"text":"# v0.17.0\n\nRepository: reka-ai/vllm-reka\n\nTag: v0.17.0\n\nPublished: 2026-04-13T09:45:19Z\n\nPrerelease: no\n\nRelease notes:\n## Compatibility\n\nThis release is compatible with **vLLM 0.17.x** (dependency pin: `vllm>=0.17.0,<0.18.0`).\n\nAlso usable alongside [vllm-omni](https://github.com/vllm-project/vllm-omni), which depends on vLLM 0.17.x.\n\nFor vLLM 0.15.x, use [v0.15.0](https://github.com/reka-ai/vllm-reka/releases/tag/v0.15.0). There is no release targeting 0.16.\n\n## What changed\n\nInternal updates to track vLLM API changes between 0.15 and 0.17:\n\n- `Attention` import moved to `vllm.model_executor.layers.attention`\n- Added `get_language_model()` on multimodal model classes (required by the new `SupportsMultiModal` default `embed_input_ids`)\n- `_get_data_parser` moved from processor to `BaseProcessingInfo.get_data_parser`\n- `ProcessorInputs` renamed `mm_data` → `mm_data_items` (now takes `MultiModalDataItems`, not `MultiModalDataDict`)\n\n## Install\n\n```bash\npip install git+https://github.com/reka-ai/vllm-reka.git@v0.17.0\n```"},{"ref":"P25","kind":"page","title":"reka-ai/n8n-nodes-reka v0.5.0","date":"2026-06-11T03:17:10.653554+00:00","date_source":null,"source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/v0.5.0","signal_url":null,"signal_json_url":null,"text":"# v0.5.0\n\nRepository: reka-ai/n8n-nodes-reka\n\nTag: v0.5.0\n\nPublished: 2026-02-18T14:30:04Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Updates Reka API documentation URL by @fboucher in https://github.com/reka-ai/n8n-nodes-reka/pull/4\n* Adds Q&A functionality and automates releases by @fboucher in https://github.com/reka-ai/n8n-nodes-reka/pull/5\n\n**Full Changelog**: https://github.com/reka-ai/n8n-nodes-reka/compare/0.4.3...v0.5.0"},{"ref":"P26","kind":"page","title":"reka-ai/n8n-nodes-reka v0.6.0","date":"2026-06-11T03:17:10.605749+00:00","date_source":null,"source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/v0.6.0","signal_url":null,"signal_json_url":null,"text":"# v0.6.0 - Enhances Clip Creation\n\nRepository: reka-ai/n8n-nodes-reka\n\nTag: v0.6.0\n\nPublished: 2026-04-10T20:09:30Z\n\nPrerelease: no\n\nRelease notes:\n* Merge pull request #12 from reka-ai/develop (35ff0c9)\n* Merge pull request #11 from fboucher/develop (e1fe5e7)\n* fix: update property paths from generation_config to rendering_config for caption styles (cbe9909)\n* Merge pull request #10 from fboucher/caption-features (253ff3a)\n* feat: add caption styling options including font size, family, colors, and text transform (8222468)\n* Merge pull request #9 from fboucher/more-clip-options (c6fad85)\n* feat: add resolution options for video output in createClipParams (69853fb)\n* feat: add validation hints and limits for clip generation parameters (e7ffb44)"},{"ref":"P27","kind":"page","title":"reka-ai/vllm-reka v0.15.0","date":"2026-06-11T03:17:10.489949+00:00","date_source":null,"source_url":"https://github.com/reka-ai/vllm-reka/releases/tag/v0.15.0","signal_url":null,"signal_json_url":null,"text":"# v0.15.0\n\nRepository: reka-ai/vllm-reka\n\nTag: v0.15.0\n\nPublished: 2026-04-13T06:57:26Z\n\nPrerelease: no\n\nRelease notes:\n## Compatibility\n\nThis release is compatible with **vLLM 0.15.x** (dependency pin: `vllm>=0.15.0,<0.16.0`).\n\nFor vLLM 0.17 support, use a later `0.17.x` release.\n\n## Install\n\n```bash\npip install git+https://github.com/reka-ai/vllm-reka.git@v0.15.0\n```"},{"ref":"P28","kind":"page","title":"reka-ai/n8n-nodes-reka 0.6.4","date":"2026-06-11T03:17:10.25735+00:00","date_source":null,"source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.6.4","signal_url":null,"signal_json_url":null,"text":"# v0.6.4\n\nRepository: reka-ai/n8n-nodes-reka\n\nTag: 0.6.4\n\nPublished: 2026-04-15T16:12:12Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* feat: create GitHub Release automatically after npm publish by @fboucher in https://github.com/reka-ai/n8n-nodes-reka/pull/17\n\n**Full Changelog**: https://github.com/reka-ai/n8n-nodes-reka/compare/0.6.3...0.6.4"},{"ref":"E1","kind":"event","title":"RekaAI/reka-flash-3","date":"2025-03-11T01:03:00+00:00","date_source":"source","source_url":"https://huggingface.co/RekaAI/reka-flash-3","signal_url":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426","signal_json_url":"https://onlylabs.fyi/signals/6461b1c3-285d-4954-af13-a8ef73341426/signal.json","text":"model_released · RekaAI/reka-flash-3 · signal_desk=releases · occurred_at=2025-03-11T01:03:00+00:00 · url=https://huggingface.co/RekaAI/reka-flash-3 · hf_downloads=126 · hf_likes=391 · hf_params=20905482240 · license=apache-2.0"},{"ref":"E2","kind":"event","title":"RekaAI/reka-edge-2603","date":"2026-03-11T12:53:50+00:00","date_source":"source","source_url":"https://huggingface.co/RekaAI/reka-edge-2603","signal_url":"https://onlylabs.fyi/signals/b524db4d-7217-494f-a439-2f13cdf43951","signal_json_url":"https://onlylabs.fyi/signals/b524db4d-7217-494f-a439-2f13cdf43951/signal.json","text":"model_released · RekaAI/reka-edge-2603 · signal_desk=releases · occurred_at=2026-03-11T12:53:50+00:00 · url=https://huggingface.co/RekaAI/reka-edge-2603 · hf_downloads=770 · hf_likes=131 · hf_params=7128509568 · pipeline=image-text-to-text · license=other"},{"ref":"E3","kind":"event","title":"RekaAI/reka-flash-3.1","date":"2025-05-28T16:16:20+00:00","date_source":"source","source_url":"https://huggingface.co/RekaAI/reka-flash-3.1","signal_url":"https://onlylabs.fyi/signals/9c91fc91-54f8-4b01-ad2e-2447ae88b84f","signal_json_url":"https://onlylabs.fyi/signals/9c91fc91-54f8-4b01-ad2e-2447ae88b84f/signal.json","text":"model_released · RekaAI/reka-flash-3.1 · signal_desk=releases · occurred_at=2025-05-28T16:16:20+00:00 · url=https://huggingface.co/RekaAI/reka-flash-3.1 · hf_downloads=82 · hf_likes=100 · hf_params=20905482240 · license=apache-2.0"},{"ref":"E4","kind":"event","title":"Member of Technical Staff (Machine Learning Engineer)","date":"2026-06-11T11:22:00.639+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1","signal_url":"https://onlylabs.fyi/signals/09bfdd6a-c807-41c5-a827-036a00587363","signal_json_url":"https://onlylabs.fyi/signals/09bfdd6a-c807-41c5-a827-036a00587363/signal.json","text":"job_opened · Member of Technical Staff (Machine Learning Engineer) · signal_desk=hiring · occurred_at=2026-06-11T11:22:00.639+00:00 · url=https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1 · raw={\"location\":\"Remote\",\"team\":\"AI Engineering\",\"ats\":\"ashby\"}"},{"ref":"E5","kind":"event","title":"Member of Technical Staff (Robotics Research Lead)","date":"2026-05-29T13:59:11.58+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/reka/9cdfc4f4-9594-49eb-9eaa-08aff01aa22f","signal_url":"https://onlylabs.fyi/signals/90fc7318-7381-4456-880c-42fb11c9dddd","signal_json_url":"https://onlylabs.fyi/signals/90fc7318-7381-4456-880c-42fb11c9dddd/signal.json","text":"job_opened · Member of Technical Staff (Robotics Research Lead) · signal_desk=hiring · occurred_at=2026-05-29T13:59:11.58+00:00 · url=https://jobs.ashbyhq.com/reka/9cdfc4f4-9594-49eb-9eaa-08aff01aa22f · raw={\"location\":\"UK, Remote\",\"team\":\"Artificial Intelligence\",\"ats\":\"ashby\"}"},{"ref":"E6","kind":"event","title":"Member of Technical Staff (Product Engineer)","date":"2026-05-19T13:32:45.413+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/reka/4676af32-41e8-428e-af64-63c08e574652","signal_url":"https://onlylabs.fyi/signals/5f7671da-1207-456a-b12d-4fe7c6ad4846","signal_json_url":"https://onlylabs.fyi/signals/5f7671da-1207-456a-b12d-4fe7c6ad4846/signal.json","text":"job_opened · Member of Technical Staff (Product Engineer) · signal_desk=hiring · occurred_at=2026-05-19T13:32:45.413+00:00 · url=https://jobs.ashbyhq.com/reka/4676af32-41e8-428e-af64-63c08e574652 · raw={\"location\":\"US, UK, Remote\",\"team\":\"Technical\",\"ats\":\"ashby\"}"},{"ref":"E7","kind":"event","title":"Member of Technical Staff (Data Intelligence)","date":"2026-05-14T16:37:13.151+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/reka/32f1d782-9a49-4a2e-8842-ac90d002bc8d","signal_url":"https://onlylabs.fyi/signals/eaeed3a3-88fb-430e-a533-678428438ad5","signal_json_url":"https://onlylabs.fyi/signals/eaeed3a3-88fb-430e-a533-678428438ad5/signal.json","text":"job_opened · Member of Technical Staff (Data Intelligence) · signal_desk=hiring · occurred_at=2026-05-14T16:37:13.151+00:00 · url=https://jobs.ashbyhq.com/reka/32f1d782-9a49-4a2e-8842-ac90d002bc8d · raw={\"location\":\"US, UK, Singapore, Remote\",\"team\":\"Research\",\"ats\":\"ashby\"}"},{"ref":"E8","kind":"event","title":"reka-ai/n8n-nodes-reka 0.7.1","date":"2026-05-07T13:20:01+00:00","date_source":"source","source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.7.1","signal_url":"https://onlylabs.fyi/signals/45faf008-e1db-445e-8d70-d6c97974b912","signal_json_url":"https://onlylabs.fyi/signals/45faf008-e1db-445e-8d70-d6c97974b912/signal.json","text":"release · reka-ai/n8n-nodes-reka 0.7.1 · signal_desk=releases · occurred_at=2026-05-07T13:20:01+00:00 · url=https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.7.1 · raw={\"repo\":\"reka-ai/n8n-nodes-reka\"}"},{"ref":"E9","kind":"event","title":"reka-ai/n8n-nodes-reka 0.7.0","date":"2026-04-30T16:21:48+00:00","date_source":"source","source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.7.0","signal_url":"https://onlylabs.fyi/signals/dc2a7cb7-1a43-4436-8941-49cbaab57358","signal_json_url":"https://onlylabs.fyi/signals/dc2a7cb7-1a43-4436-8941-49cbaab57358/signal.json","text":"release · reka-ai/n8n-nodes-reka 0.7.0 · signal_desk=releases · occurred_at=2026-04-30T16:21:48+00:00 · url=https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.7.0 · raw={\"repo\":\"reka-ai/n8n-nodes-reka\"}"},{"ref":"E10","kind":"event","title":"reka-ai/reka-mcp","date":"2026-04-28T07:52:10+00:00","date_source":"source","source_url":"https://github.com/reka-ai/reka-mcp","signal_url":"https://onlylabs.fyi/signals/1227bd13-65e9-430c-83bf-228eb14e3003","signal_json_url":"https://onlylabs.fyi/signals/1227bd13-65e9-430c-83bf-228eb14e3003/signal.json","text":"repo_new · reka-ai/reka-mcp · signal_desk=repos · occurred_at=2026-04-28T07:52:10+00:00 · url=https://github.com/reka-ai/reka-mcp · raw={\"repo\":\"reka-ai/reka-mcp\",\"description\":\"Reka AI's MCP server\",\"language\":\"Python\"}"},{"ref":"E11","kind":"event","title":"reka-ai/n8n-nodes-reka 0.6.4","date":"2026-04-15T16:12:12+00:00","date_source":"source","source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.6.4","signal_url":"https://onlylabs.fyi/signals/ca87f1b2-efb0-4254-ac2e-1252ff2e18c1","signal_json_url":"https://onlylabs.fyi/signals/ca87f1b2-efb0-4254-ac2e-1252ff2e18c1/signal.json","text":"release · reka-ai/n8n-nodes-reka 0.6.4 · signal_desk=releases · occurred_at=2026-04-15T16:12:12+00:00 · url=https://github.com/reka-ai/n8n-nodes-reka/releases/tag/0.6.4 · raw={\"repo\":\"reka-ai/n8n-nodes-reka\"}"},{"ref":"E12","kind":"event","title":"reka-ai/vllm-reka v0.17.0","date":"2026-04-13T09:45:19+00:00","date_source":"source","source_url":"https://github.com/reka-ai/vllm-reka/releases/tag/v0.17.0","signal_url":"https://onlylabs.fyi/signals/d622b57a-dd93-47d8-88c3-5e3436041cf9","signal_json_url":"https://onlylabs.fyi/signals/d622b57a-dd93-47d8-88c3-5e3436041cf9/signal.json","text":"release · reka-ai/vllm-reka v0.17.0 · signal_desk=releases · occurred_at=2026-04-13T09:45:19+00:00 · url=https://github.com/reka-ai/vllm-reka/releases/tag/v0.17.0 · raw={\"repo\":\"reka-ai/vllm-reka\"}"},{"ref":"E13","kind":"event","title":"reka-ai/vllm-reka v0.15.0","date":"2026-04-13T06:57:26+00:00","date_source":"source","source_url":"https://github.com/reka-ai/vllm-reka/releases/tag/v0.15.0","signal_url":"https://onlylabs.fyi/signals/e1f7bbb9-f1cc-44ec-bdbb-a215d342f4ef","signal_json_url":"https://onlylabs.fyi/signals/e1f7bbb9-f1cc-44ec-bdbb-a215d342f4ef/signal.json","text":"release · reka-ai/vllm-reka v0.15.0 · signal_desk=releases · occurred_at=2026-04-13T06:57:26+00:00 · url=https://github.com/reka-ai/vllm-reka/releases/tag/v0.15.0 · raw={\"repo\":\"reka-ai/vllm-reka\"}"},{"ref":"E14","kind":"event","title":"reka-ai/n8n-nodes-reka v0.6.0","date":"2026-04-10T20:09:30+00:00","date_source":"source","source_url":"https://github.com/reka-ai/n8n-nodes-reka/releases/tag/v0.6.0","signal_url":"https://onlylabs.fyi/signals/4c1543b5-5d87-445c-aa53-505ee45dd423","signal_json_url":"https://onlylabs.fyi/signals/4c1543b5-5d87-445c-aa53-505ee45dd423/signal.json","text":"release · reka-ai/n8n-nodes-reka v0.6.0 · signal_desk=releases · occurred_at=2026-04-10T20:09:30+00:00 · url=https://github.com/reka-ai/n8n-nodes-reka/releases/tag/v0.6.0 · raw={\"repo\":\"reka-ai/n8n-nodes-reka\"}"},{"ref":"E15","kind":"event","title":"reka-ai/reka-vibe-eval","date":"2024-05-01T08:41:27+00:00","date_source":"source","source_url":"https://github.com/reka-ai/reka-vibe-eval","signal_url":"https://onlylabs.fyi/signals/e486619d-5d6f-462c-a4ad-908661ffd129","signal_json_url":"https://onlylabs.fyi/signals/e486619d-5d6f-462c-a4ad-908661ffd129/signal.json","text":"repo_new · reka-ai/reka-vibe-eval · signal_desk=repos · occurred_at=2024-05-01T08:41:27+00:00 · url=https://github.com/reka-ai/reka-vibe-eval · stars=187 · raw={\"repo\":\"reka-ai/reka-vibe-eval\",\"description\":\"Multimodal language model benchmark, featuring challenging examples\",\"language\":\"Python\"}"},{"ref":"E16","kind":"event","title":"reka-ai/rekaquant","date":"2025-07-02T10:11:47+00:00","date_source":"source","source_url":"https://github.com/reka-ai/rekaquant","signal_url":"https://onlylabs.fyi/signals/6f11c254-928d-44ea-9fd9-04a701ed9371","signal_json_url":"https://onlylabs.fyi/signals/6f11c254-928d-44ea-9fd9-04a701ed9371/signal.json","text":"repo_new · reka-ai/rekaquant · signal_desk=repos · occurred_at=2025-07-02T10:11:47+00:00 · url=https://github.com/reka-ai/rekaquant · stars=63 · raw={\"repo\":\"reka-ai/rekaquant\",\"language\":\"Python\"}"},{"ref":"E17","kind":"event","title":"reka-ai/reka-sdk-python","date":"2024-05-20T15:48:30+00:00","date_source":"source","source_url":"https://github.com/reka-ai/reka-sdk-python","signal_url":"https://onlylabs.fyi/signals/1ce3de46-af43-4537-a487-23120f946e4d","signal_json_url":"https://onlylabs.fyi/signals/1ce3de46-af43-4537-a487-23120f946e4d/signal.json","text":"repo_new · reka-ai/reka-sdk-python · signal_desk=repos · occurred_at=2024-05-20T15:48:30+00:00 · url=https://github.com/reka-ai/reka-sdk-python · stars=18 · raw={\"repo\":\"reka-ai/reka-sdk-python\",\"description\":\"Python SDK for the Reka AI API\",\"language\":\"Python\"}"},{"ref":"E18","kind":"event","title":"reka-ai/research-eval","date":"2025-08-27T19:52:31+00:00","date_source":"source","source_url":"https://github.com/reka-ai/research-eval","signal_url":"https://onlylabs.fyi/signals/d70102e6-f428-4281-bbdc-9276cab1db1c","signal_json_url":"https://onlylabs.fyi/signals/d70102e6-f428-4281-bbdc-9276cab1db1c/signal.json","text":"repo_new · reka-ai/research-eval · signal_desk=repos · occurred_at=2025-08-27T19:52:31+00:00 · url=https://github.com/reka-ai/research-eval · stars=17 · raw={\"repo\":\"reka-ai/research-eval\",\"description\":\"A benchmark to evaluate search-augmented LLMs\",\"language\":\"Python\"}"},{"ref":"E19","kind":"event","title":"reka-ai/api-examples-dotnet","date":"2025-08-29T18:22:54+00:00","date_source":"source","source_url":"https://github.com/reka-ai/api-examples-dotnet","signal_url":"https://onlylabs.fyi/signals/4019fe97-6dd5-4bf1-9ccc-3b8ccd9e79cf","signal_json_url":"https://onlylabs.fyi/signals/4019fe97-6dd5-4bf1-9ccc-3b8ccd9e79cf/signal.json","text":"repo_new · reka-ai/api-examples-dotnet · signal_desk=repos · occurred_at=2025-08-29T18:22:54+00:00 · url=https://github.com/reka-ai/api-examples-dotnet · stars=13 · raw={\"repo\":\"reka-ai/api-examples-dotnet\",\"description\":\"Examples to get started with Reka APIs using .NET (C#) resources\",\"language\":\"C#\"}"},{"ref":"E20","kind":"event","title":"reka-ai/vllm-reka","date":"2026-02-16T14:59:03+00:00","date_source":"source","source_url":"https://github.com/reka-ai/vllm-reka","signal_url":"https://onlylabs.fyi/signals/d21cbdac-d30a-45ea-bbde-04b84a25cb6c","signal_json_url":"https://onlylabs.fyi/signals/d21cbdac-d30a-45ea-bbde-04b84a25cb6c/signal.json","text":"repo_new · reka-ai/vllm-reka · signal_desk=repos · occurred_at=2026-02-16T14:59:03+00:00 · url=https://github.com/reka-ai/vllm-reka · stars=9 · raw={\"repo\":\"reka-ai/vllm-reka\",\"description\":\"vLLM plugin for Reka 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