📖 Complete Architecture for Building Enterprise RAG 🛠️

This architecture by 🔭 Galileo provides a reference on both the algorithmic and system-level components needed to build production RAG 💫. There’s a lot in here 👇:

It covers everything from the following broad categories:
✅ Handling user input: user auth 🔐, input guardrails, query understanding
✅ Core advanced chunking/retrieval techniques: the bread and butter of LlamaIndex
✅ How to store embeddings/documents/chat history/user feedback, and vector db tradeoffs
✅ How to choose a proper LLM inference solution
✅ Handling output: output guardrails, collecting user feedback, observability
✅ Other system-level improvements: Caching, multi-tenancy

Check it out as your weekend reading! https://lnkd.in/g74cH7Pu
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