Bring Rag
to OpenAI Agents SDK

Connect your Vectara environment to any AI agent to unlock enterprise-grade Retrieval-Augmented Generation (RAG) and semantic search directly inside your conversational IDE or workspace.

What you can do

• Semantic Search — Query your indexed private corpora naturally and return highly relevant, grounded documents without traditional keyword matching limitations.
• Conversational RAG — Execute fully-fledged interactive chats leveraging Vectara's backend to provide detailed, cited answers strictly based on your secure documents.
• Corpus Management — List all available data corpora, retrieve unique keys, and discover the shape of your indexed data environment on the fly.
• Document Auditing — Monitor specific document indexes within a corpus, verify correct ingestions, or permanently delete obsolete files avoiding polluted search results.

How it works

1. Subscribe to this server
2. Enter your Vectara API Key and Customer ID
3. Start retrieving knowledge from Claude, Cursor, or any MCP-compatible client

Your AI agent becomes an elite cognitive search gateway to all your internal data.

Who is this for?

• Software Engineers — debug RAG implementation challenges by directly testing query responses via chat instead of writing disposable test scripts.
• Data Engineers — securely remove stale database context arrays manually inserted into Vectara via quick conversational text commands.
• Product Leads — ask questions against internal product manuals stored as a Vectara corpus without waiting for the frontend UI development.
• Technical Writers — locate specific passages traversing across thousands of embedded documents effortlessly leveraging contextual semantic queries.