Vector Database
Showing 13 of 49 projects
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.
An LLM-based AI agent that generates n8n automation workflows from a single text prompt using vector search and knowledge graphs.
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 and vector stores.
A collection of community plugins for Firebase Genkit, providing integrations with AI models, vector stores, and workflow tools.
A collection of community-built plugins for Firebase Genkit, extending support to various AI models, vector stores, and workflow tools.
A Model Context Protocol server for MariaDB that enables AI assistants to query databases and perform semantic search using vector embeddings.
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.
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