VikingDB

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.

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.

DuckDB

Interact with DuckDB databases by running SQL queries and conducting thorough data analysis tasks.

Memory PostgreSQL

Enhance your data recall with cutting-edge long-term memory functions leveraging PostgreSQL integrated with pgvector. This advanced setup allows seamless semantic search within stored data, empowering you to tag, score confidence levels, and filter information to uphold context continuity during interactions.

Pinecone Vector DB

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

Milvus (Vector Database)

Enhance the connectivity between artificial intelligence platforms and the Milvus vector database to streamline semantic search, text retrieval, and hybrid data retrieval processes. This integration facilitates swift and accurate similarity matching and data extraction from vector datasets.

Qdrant Vector Database

Enhance your data retrieval with seamless semantic search features by leveraging the Model Context Protocol's integration with the Qdrant vector database. This cutting-edge protocol supports storage and access to data through various embedding sources, offering flexibility in deployment through Docker or local setups.

LanceDB Vector Search

Unlock powerful vector search functions by leveraging LanceDB and Ollama's embedding model to conduct similarity searches within document collections seamlessly, eliminating the need for context switching.

LanceDB

Enhance your data capabilities with seamless integration with the LanceDB vector database. Enable streamlined storage, quick retrieval, and effective similarity search of vector embeddings paired with metadata. Ideal for boosting semantic search and recommendation systems' performance.

Simple File Vector Store

Enhances local file and directory search through vector embeddings and smart storage methods, boosting semantic search functionality.

Files-DB

Discover an advanced semantic code search solution through a dedicated local vector database system. Benefit from seamless setup, live file tracking, and progressive indexing for improved codebase exploration.

Qdrant Vector Database

Discover a cutting-edge vector repository designed for efficient organization and retrieval of code snippets. Utilizing Docker containers and advanced sentence-transformers embeddings, this solution revolutionizes semantic search capabilities.