TAGGED GUIDES
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16 published articlesA single-GPU RAG stack works once you decide which process owns the GPU. The most predictable pattern reserves the GPU for generation and keeps embeddings and retrieval…
Build a small, versioned set of real questions paired with the chunk IDs that should answer them, run only the retriever against it, and gate recall@k and…
Secrets leak into RAG when ingestion pipelines index everything without classification, scanning, or access metadata. The fix is layered: keep credentials out of source documents, scan and…
A RAG pipeline can fail in two different places, and one end-to-end score will not tell you which. Test retrieval and generation separately: score Precision@k and Recall@k…
Hallucinations are best handled as two linked tasks: measuring them with a labelled evaluation set, and reducing them with grounded retrieval plus an output guardrail. This guide…
A RAG assistant avoids repeating your WordPress posts by indexing every published article into a vector store and querying it before the model writes a word. The…
A retrieval-augmented generation pipeline can run entirely on your own machine, including the embedding step that turns documents into vectors. This guide maps the local-only component stack,…
A local RAG pipeline uses Ollama to serve both the chat model and the embedding model, and ChromaDB to store and search document vectors, so answers are…
Local embedding models compute document and query vectors on your own hardware, so text never leaves your machine before retrieval. LlamaIndex supports a fully local stack using…
A LangChain RAG pipeline has three stages: index documents, retrieve the passages relevant to a query, and pass those passages to a chat model. This guide walks…
Metadata filtering is the retrieval-layer control that turns user identity, permissions, and dates into vector query constraints. In multi-tenant RAG, the orchestrator should apply tenant, ACL, and…
When a RAG system returns the wrong document, the language model is rarely the cause. The failure usually sits in chunking, retrieval, or ranking. This guide explains…