Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Uses Ollama or OpenAI to generate embeddings.
Docker files included
Provides AI assistants with access to Payman's documentation, helping developers build integrations more efficiently through enhanced contextual support.
An MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.