Reading up on rag
3 deep · digging since jan 18
- Jev is to tool use what RAG is to context
RAG pre-selects model input context while Jev pre-selects model output options; both constrain the model to a developer‑defined frame, contrasting with fully agentic models that decide dynamically.
- Agentic search models
Smaller, domain-tuned LLMs trained specifically for search orchestration can replace complex monolithic retrieval pipelines by intelligently controlling simpler retrieval primitives.
- Ask HN: How are you doing RAG locally?
Hacker News commenters share diverse local RAG setups including vector databases, SQLite FTS5, BM25, and lightweight tools like Chroma, Qdrant, and AnythingLLM.