Tutorial Shows How to Build a Free, Fully Local RAG Pipeline with Python and Ollama
A DEV Community tutorial explains how to query private documents with a large language model without sending data to third-party APIs. The guide uses Python, the Ollama local model runtime, and ChromaDB as a vector database, with Mistral as the model. It walks through embedding a small sample knowledge base, retrieving the most relevant chunks for a user question, and generating an answer grounded in that context. The author argues the setup offers zero API costs and full data privacy.
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