Ragdocs
Enables AI assistants to augment their responses with context from documentation through vector search and retrieval.
About
Ragdocs is an implementation that equips AI assistants with the ability to enhance their responses by leveraging relevant documentation context. It achieves this through vector-based search and retrieval, allowing for semantic understanding and accurate information extraction from stored documentation. The server facilitates real-time context augmentation for LLMs, empowering developers to build documentation-aware AI tools and implement semantic documentation search.
Key Features
- Support for multiple documentation sources
- Semantic search capabilities
- Automated documentation processing
- 93 GitHub stars
- Vector-based documentation search and retrieval
- Real-time context augmentation for LLMs
Use Cases
- Building documentation-aware AI assistants
- Creating context-aware tooling for developers
- Enhancing AI responses with relevant documentation
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