Vector Database
Showing 30 of 66 projects
A superfast on-device vector database for Swift, enabling local persistence and vector search for iOS and macOS apps.
A multi-paradigm embedded NoSQL database for .NET with ACID transactions, text search, and vector similarity search capabilities.
A vector space search engine, vector database, and key/value store for efficient string processing and vector operations.
A production-ready Rust framework for adding persistent, intelligent long-term memory to AI agents and autonomous systems.
An LLM-based AI agent that generates n8n automation workflows from a single text prompt using vector search and knowledge graphs.
An LLM-based AI agent that generates n8n automation workflows from a single text prompt.
A collection of Python applications demonstrating various use cases of ChatGPT, including chatbots, automation, and voice assistants.
A collection of community-built plugins for Firebase Genkit, extending support to various AI models, vector stores, and workflow tools.
A collection of community-built plugins for Firebase Genkit, extending support to various AI models and vector stores.
A Model Context Protocol server for MariaDB that enables AI assistants to query databases and perform semantic search using vector embeddings.
A collection of community plugins for Firebase Genkit, providing integrations with AI models, vector stores, and workflow tools.
A curated list of resources, plugins, tools, and examples for the Genkit AI framework ecosystem.
An in-memory data structure store used as a database, cache, message broker, and vector database for real-time applications.
A complete Ruby client for the Pinecone vector database, supporting all API operations with local development and performance optimizations.
A Ruby client library for interacting with the Qdrant vector search database API.
A Ruby client library for interacting with the Weaviate vector search database API.
A Ruby client library for interacting with the Milvus vector database API.
A Java implementation of the Genkit framework for building observable, traceable AI-powered applications with multi-model support.
A native MySQL plugin for vector storage and similarity search, enabling AI-powered applications directly within your database.
A Java implementation of the Genkit framework for building observable, AI-powered applications with multi-model support.
A thread-safe vector database for model inference built on LMDB.
A Rust CLI tool for working with OpenAI-compatible LLMs with interactive sessions, RAG support, and local memory.
A Common Lisp client library for interacting with the Chroma vector database.
A Genkit plugin providing Qdrant vector store indexer and retriever implementations for JavaScript and Go.
A Genkit plugin providing Qdrant vector store indexer and retriever implementations for JavaScript and Go.
An MCP server that provides AI agents with semantic search access to Babylon.js documentation, API references, and source code.
An Elixir library providing a simple wrapper for interacting with Weaviate's REST API for schema and object management.
A semantically searchable database of market definitions extracted from European Commission antitrust and merger case decisions.
A Genkit plugin for Redis vector database integration, enabling vector storage and retrieval capabilities.
A community plugin for integrating Weaviate vector database with Google's Genkit AI framework.
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