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https://github.com/jonfairbanks/local-rag

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
https://github.com/jonfairbanks/local-rag

large-language-models llm ollama rag retrieval-augmented-generation

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Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

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README

        

# 📚 Local RAG

![local-rag-demo](demo.gif)

[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8588/badge)](https://www.bestpractices.dev/projects/8588)
![GitHub Commit Activity](https://img.shields.io/github/commit-activity/t/jonfairbanks/local-rag)
![GitHub Last Commit](https://img.shields.io/github/last-commit/jonfairbanks/local-rag)
![GitHub License](https://img.shields.io/github/license/jonfairbanks/local-rag)

Offline, Open-Source RAG

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Features:

- Offline Embeddings & LLMs Support (No OpenAI!)
- Support for Multiple Sources
- Local Files
- GitHub Repos
- Websites
- Streaming Responses
- Conversational Memory
- Chat Export

Learn More:

- [Setup & Deploy the App](docs/setup.md)
- [Using Local RAG](docs/usage.md)
- [RAG Pipeline](docs/pipeline.md)
- [Planned Features](docs/todo.md)
- [Troubleshooting](docs/troubleshooting.md)
- [Known Bugs & Issues](docs/todo.md#known-issues--bugs)
- [Resources](docs/resources.md)
- [Contributing](docs/contributing.md)