Ragdocs
Augment AI responses with context by retrieving and processing documentation through vector search.
About
Ragdocs is a powerful tool designed to enhance AI applications with relevant documentation context. It leverages vector search to retrieve and process documentation, enabling AI assistants to provide more informed and accurate responses. Supporting both local and hosted environments, Ragdocs integrates seamlessly with various documentation sources and Large Language Models to build context-aware tooling for developers and semantic documentation search capabilities.
Key Features
- Vector-based documentation search and retrieval
- Support for multiple documentation sources
- Support for local (Ollama) and OpenAI embeddings generation
- Automated documentation processing
- Real-time context augmentation for LLMs
- 14 GitHub stars
Use Cases
- Building documentation-aware AI assistants
- Enhancing AI responses with relevant documentation
- Implementing semantic documentation search
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