Data Science & ML
API Development
Database Management
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Couchbase

Createdshivay-couchbase

Enables AI models to perform semantic searches for Star Wars planets using Couchbase's vector search.

Github Repo

About

This project implements a Model Context Protocol (MCP) server, allowing AI models to interact with a Couchbase database to fetch detailed information about Star Wars planets and find similar planets based on vector embeddings. It utilizes Couchbase's vector search capabilities for efficient similarity lookups, providing a standardized way for AI models to access and utilize structured data within a Couchbase database.

Key Features

  • Implements timeouts for both search and document fetching operations.
  • Comprehensive error handling and debugging support.
  • Full TypeScript implementation with proper type definitions.
  • Manages Couchbase connections with cleanup.
  • 1 GitHub stars
  • Utilizes Couchbase's vector search index for fast similarity lookups.

Use Cases

  • Enabling AI models to access and understand data stored in Couchbase.
  • Implementing semantic search capabilities within AI applications.
  • Building AI-powered tools that require context from structured data.