{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: Think small, move fast: My journey building a RAG chatbot at Scaleway","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/10c8fc03-a455-49ea-83d1-fb4e8958c44e","json_url":"https://onlylabs.fyi/signals/10c8fc03-a455-49ea-83d1-fb4e8958c44e/signal.json","generated_at":"2026-06-07T21:16:11.811178+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/10c8fc03-a455-49ea-83d1-fb4e8958c44e","signal_json":"https://onlylabs.fyi/signals/10c8fc03-a455-49ea-83d1-fb4e8958c44e/signal.json","source":"https://www.scaleway.com/en/blog/think-small-move-fast-my-journey-building-a-rag-chatbot-at-scaleway/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published Think small, move fast: My journey building a RAG chatbot at Scaleway. 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Yes, that’s challenging! I had to have a plan and to seek for quick added value to impulse this transformation. So we got started with our first project: build a Scaler Assistant to answer all HR related questions from Scalers. Let’s see what I did to build and deploy a RAG system in one month and the tips I can give you to achieve the same. Think small, be efficient, fail fast Think small, be efficient, fail fast. These are the three things I told myself to keep in mind if I wanted this project to succeed. Think small: My goal is to help Scalers to find accurate HR related information, not every single piece of information contained in the internal documentation of the company. Therefore, my RAG system should and must be tailor-made for this kind of information. No need to set up a general retrieval system that works for every kind of data, no need to go into lots of technical considerations regarding LLMs or RAG architectures. 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I had to have a plan and to seek for quick added value to impulse this transformation. So we got started with our first project: build a Scaler Assistant to answer all HR related questions from Scalers. Let’s see what I did to build and deploy a RAG system in one month and the tips I can give you to achieve the same. Think small, be efficient, fail fast Think small, be efficient, fail fast. These are the three things I told myself to keep in mind if I wanted this project to succeed. Think small: My goal is to help Scalers to find accurate HR related information, not every single piece of information contained in the internal documentation of the company. Therefore, my RAG system should and must be tailor-made for this kind of information. No need to set up a general retrieval system that works for every kind of data, no need to go into lots of technical considerations regarding LLMs or RAG architectures. 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