Ragdocs

Ragdocs

Documentation-aware AI via vector search and context augmentation.

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About Ragdocs

Ragdocs is an open-source MCP server that enables fast retrieval and processing of documentation using vector search. It empowers AI assistants and tools to augment responses with contextually relevant documentation by providing features like semantic search, documentation indexing and removal, and process queue management. Designed for developers and organizations wanting to build context-aware and documentation-rich AI assistants or knowledge tools, Ragdocs integrates with vector databases like Qdrant and uses OpenAI for embeddings.

Pricing Plans
Open Source
$0

Resources

Product Website

Visit Ragdocs's official website for product details and getting started.

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Documentation

Comprehensive documentation for setting up and using Ragdocs.

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Issues and Discussions

Community discussions and issue tracking for Ragdocs development.

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Examples and Use Cases

Explore various examples and use cases for implementing Ragdocs in projects.

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