In my last post, I built a RAG pipeline from scratch — no LangChain, just FastAPI + FAISS. It scored...
In my last post, I built a RAG pipeline from scratch — no LangChain, just FastAPI + FAISS. It scored 17/19 on my test set. But two questions failed:
"Who is the CEO?" — couldn't find it
"How many employees does Zentara have?" — couldn't find it
Both answers were right there on page 1. So what went wrong, and how did I fix it?
Why pure vector search failed
Most RAG tutorials I found were either "pip install langchain and you're done" or 50-page academic...
My RAG pipeline looked fine on paper. Fast retrieval. Decent cosine scores. But when I tested it with...
RAG has become the default answer for giving LLMs access to private knowledge. And for good reason —...
Everyone reaching for a vector database when building RAG is solving the wrong problem first. For...
Introduction Here is a scenario many RAG builders know well, you wire up a pipeline, load...
From stuffing JSON into Claude to GraphRAG, hybrid search, CRAG, and adversarial evaluation — the...
