[2026.6.24] v1.4.12 — A new LightRAG Server retrieval engine, a lightweight PyMuPDF4LLM parsing engine, and a FAISS vector backend that makes large knowledge-base retrieval dramatically faster.

Now every tutorial, every startup pitch, every junior dev’s portfolio has a RAG pipeline in it. Here’s the thing. RAG solves a specific problem: retrieving relevant context from a large corpus when ...

It was building the backend systems behind it: atomic usage-limit architecture monthly reset logic rollback handling for failed AI requests unified AI history system protected routes & auth PDF ...