ChromaDB

Memory Service

Enhance your text embedding capabilities with ChromaDB integration and sentence transformers through Model Context Protocol. Unlock semantic search and dynamic content suggestions with seamless websocket communication.

Chroma Working Memory

Enhance your development workflow with a cutting-edge Model Context Protocol (MCP) that seamlessly integrates ChromaDB, automated codebase indexing, chat logging, and sequential thinking tools. This innovative solution acts as a dynamic 'second brain,' ensuring persistent, searchable, and continually updated context retention across your work sessions. Ideal for optimizing productivity and streamlining collaboration in your projects.

Chroma

Enhance your system with seamless integration to the Chroma vector repository, empowering efficient organization, document handling, and vector-based searches for enriched knowledge repositories and interactive discussions.

Milvus Vector Database

Enhance your search capabilities by linking with the Milvus vector database, facilitating vector search, full-text search, and versatile queries. Ideal for boosting semantic search and streamlining knowledge retrieval processes.

GraphRAG

Enhance your document search experience with a potent combination of Neo4j graph database and Qdrant vector database. Uncover semantic connections and expand structural context by seamlessly following relationships.

RAG Docs

Enhances information retrieval through semantic search functionality and a vector database (Qdrant), facilitating streamlined access to extensive document repositories.

LanceDB

Unlock the potential of LanceDB integration with seamless support for querying, insertion, and administration of vector data. Enhance your similarity search and semantic analysis capabilities effortlessly.

RAG Documentation

Experience advanced knowledge access with seamless integration of Qdrant vector search and documentation retrieval in Model Context Protocol (MCP). Unlock context-aware responses and enable semantic querying for a richer user experience.

Local Code Search

Enhance codebase search with local indexing using ChromaDB, allowing semantic code search without reliance on external platforms. Benefit from live updates using file system monitoring and customizable exclusion rules for a tailored experience.

Pinecone Vector DB

Utilize Pinecone's vector databases to enhance semantic search capabilities and RAG functionality.

VideoDB

Enhance VideoDB's video functionality by connecting it to specialized resources for improved search, indexing, subtitling, and video content manipulation within the Model Context Protocol framework.

QDrant RagDocs

Employs Qdrant vector database and embeddings for enhanced semantic search and documentation organization, facilitating Retrieval-Augmented Generation within the Model Context Protocol (MCP) framework.

Better Qdrant

Enhance your AI systems with seamless integration to the Qdrant vector database for advanced semantic search functions using diverse embedding services. Streamline document handling and similarity assessments directly within the chat interface for an enhanced user experience.

RAG Documentation Search

Enhances document search with semantic vectors for contextually relevant results from specified document repositories.

Mochow Vector Database

Unlock the full potential of the Mochow vector database through the Model Context Protocol (MCP), enabling seamless management of databases and tables. Conduct efficient vector similarity and full-text searches, complete with customizable filtering functionalities.