vndee/local-assistant-examples
Build your own ChatPDF and run it locally
Implements Retrieval-Augmented Generation (RAG) using Langchain, Ollama, and Streamlit to enable local document querying without external APIs. The architecture chains together vector embeddings, local LLM inference, and a web UI, allowing developers to understand RAG concepts through simplified, educational examples. Designed as a learning resource with modular examples rather than production-ready code.
405 stars.
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405
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120
Language
Python
License
MIT
Category
Last pushed
Oct 20, 2025
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