Vectara

About

Vectara-MCP provides agentic applications with access to fast, reliable RAG (Retrieval-Augmented Generation) through the Model Context Protocol (MCP), leveraging Vectara's Trusted RAG platform. It offers tools for running RAG queries and semantic searches against Vectara, allowing seamless integration with AI systems like Claude Desktop and other MCP clients. Vectara-MCP facilitates secure, two-way connections between AI systems and data sources, reducing hallucination and improving the quality of AI-generated content.

Key Features

• Provides access to fast and reliable RAG powered by Vectara via MCP.
• Supports configuration for Vectara API key and corpus keys.
• Includes a search_vectara tool for semantic search queries without generation.
• Compatible with Claude Desktop and other MCP clients.
• Offers an ask_vectara tool for RAG queries with generated responses.
• 6 GitHub stars

Use Cases

• Integrating Vectara's RAG capabilities into AI agents.
• Enabling semantic search functionality in AI applications.
• Connecting AI systems to data sources for improved context and accuracy.