The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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Updated
Feb 18, 2025 - TypeScript
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
Mercury - Train your own custom GPT. Chat with any file, or website.
GPU-accelerated force graph layout and rendering
A dead-simple API to build LLM-powered apps
A NodeJS RAG framework to easily work with LLMs and embeddings
Example of building a chatbot with Langchain and Supabase Vector.
Quickly and easily build AI website or application by using embeddings!
Admin UI for Chroma embedding database built with Next.js
AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
Explore and interpret large embeddings in your browser with interactive visualization! 📍
Supabase Toolkit to perform vector similarity search on your knowledge base embeddings.
Your Local Artificial Memory on your Device.
➖ 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.
An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.
Iframable PancakeSwap for any Websites, Feel free to use with iframe. <iframe src="https://iframe-pancakeswap.netlify.app" />
GitHub Action to generate embeddings from the markdown files in your repository.
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."