The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

Mecha Agent is a RAG Application to create AI agents answer questions based on given datasets

Boilerplate for multi-LLM agent applications using Langchain v3 with multi-model reasoning capabilities.

markdown-it plugin for embedding github source links

GPU-accelerated force graph layout and rendering

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Build AI-powered applications

The perfect way to keep your memories alive

A Next.js web application that allows users to search for anime and manga using description-based queries. It leverages models/embeddings generated by AniSearchModel.

Notate is a desktop chat application that takes AI conversations to the next level. It combines the simplicity of chat with advanced features like document analysis, vector search, and multi-model AI support - all while keeping your data private.

A NodeJS RAG framework to easily work with LLMs and embeddings

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

Top Stocks Search is a React app using Pinecone embeddings to search and display stock information.

n8n node to embed content with voyageai embeddings.

The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

Intelligent data steward toolbox using Large Language Model embeddings for automated Data-Harmonization

➖ Stripped down, stable version of firecrawl optimized for self-hosting and ease of contribution. Billing logic and AI features are completely removed. Crawl and convert any website into LLM-ready markdown.

Admin UI for Chroma embedding database built with Next.js

This project uses advanced NLP and semantic search to navigate YouTube video transcripts. By segmenting transcripts and using a vector store, it provides contextually relevant search results. Integrating ChatGPT for query processing ensures high-quality answers, enhancing user experience. Ideal for educational platforms, content creators, and viewe

Playground to experiment with how closely a language-based AI thinks two texts are to each other.