AnythingLLM as Knowledge Base
AnythingLLM is the closest thing to a real private NotebookLM you can self-host. Workspaces, RAG, agents, document chat — running locally on Ollama in 20 minutes.
Tag: rag
All the articles with the tag "rag".
RAG Evaluation with Ragas
Most RAG demos look great until you ship them. Ragas measures faithfulness, context precision, answer relevancy — the metrics that actually predict user trust.
Qdrant vs Weaviate vs Chroma: Vector DB Showdown
Every RAG tutorial says 'just use Chroma.' Then you hit production. Here's what Qdrant, Weaviate, and ChromaDB actually offer and when each one earns its place.
RAG on a Budget: Building a Knowledge Base with Ollama & ChromaDB
Stop paying per-token to ask questions about your own documents. This guide walks you through building a fully local RAG pipeline with Ollama and ChromaDB — from Docker Compose to Python code — so your AI can actually know things without hallucinating them.
LangChain vs LlamaIndex: RAG Framework Showdown
LangChain does everything and LlamaIndex does one thing brilliantly. Here's how to pick the right RAG framework without regretting it at 2 AM.
The Embedding Model Choice Nobody Explains
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Most people use OpenAI's embeddings because it's easy. But local embeddings exist. How to pick and when it actually matters.
RAG Chunking: Why Chunk Size Is Everything
RAG breaks documents into chunks. But what chunk size? Too small and context is lost. Too large and semantic search fails. Here's how to pick.