vndee/local-assistant-examples

Build your own ChatPDF and run it locally

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Established

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.

No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

405

Forks

120

Language

Python

License

MIT

Last pushed

Oct 20, 2025

Commits (30d)

0

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