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
Last synced: 2 days ago
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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.
- Host: GitHub
- URL: https://github.com/jonfairbanks/local-rag
- Owner: jonfairbanks
- License: gpl-3.0
- Created: 2024-02-15T07:28:30.000Z (about 1 year ago)
- Default Branch: develop
- Last Pushed: 2024-08-12T19:33:27.000Z (8 months ago)
- Last Synced: 2025-04-13T05:08:20.745Z (2 days ago)
- Topics: large-language-models, llm, ollama, rag, retrieval-augmented-generation
- Language: Python
- Homepage:
- Size: 54.4 MB
- Stars: 632
- Watchers: 9
- Forks: 79
- Open Issues: 7
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Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.md
- License: LICENSE
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README
# 📚 Local RAG

[](https://www.bestpractices.dev/projects/8588)


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 ExportLearn 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)