MCP-Ragdocs
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Enables semantic search and natural language retrieval of documentation by indexing content from URLs or local files into a vector database using Model Context Protocol integration.
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May 30, 2025
Enables semantic search and natural language retrieval of documentation by indexing content from URLs or local files into a vector database using Model Context Protocol integration.
Unlock the full potential of MCP-Ragdocs through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.
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URL of your Qdrant instance. For local use: http://localhost:6333. For Qdrant Cloud: https://your-cluster-url.qdrant.tech
Choose between 'ollama' (default) or 'openai' for the embedding provider.
ollamaDiscover shared experiences
Optional embedding model. Defaults to 'nomic-embed-text' for Ollama and 'text-embedding-3-small' for OpenAI.
URL of your Ollama instance, defaults to http://localhost:11434.
http://localhost:11434Your OpenAI API key, required if using OpenAI as the embedding provider.
Your Qdrant Cloud API key, required if using Qdrant Cloud.
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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