The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
-
Updated
Jul 16, 2024 - TypeScript
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
A Retrieval Augmented Generator (RAG) that operates entirely locally, combining document retrieval and language model generation to provide accurate and contextually relevant responses. Built with @langchain-ai
🤖 That's a simple LLM semantic search that implements RAG concepts with help of LangChain and OpenAI API.
AI-powered Instagram bot for precise gender targeting using XGBoost and OpenAI ADA, with 91% accuracy at just $0.001 per 1000 queries. Automates follows/unfollows from user lists or photo likes, and checks follow-backs with randomized human-like actions. Ideal for influencers and marketers aiming for targeted engagement.
Intelligent data steward toolbox using Large Language Model embeddings for automated Data-Harmonization
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
A NodeJS RAG framework to easily work with LLMs and embeddings
Quickly and easily build AI website or application by using embeddings!
end-to-end image search app
Paperform.co components for react with types
This is an experiment in learning langchain, pinecone and stuff, don't mind
AI chat with Tim Ferriss or any of his past guests
gen-ai-demo
This project is the frontend for the SMARTGLPI system, which interacts with the SMARTGLPI backend to search similar tickets by semantics and efficently.
Admin UI for Chroma embedding database built with Next.js
RAG Chat Assistant with MongoDB Atlas, Google Cloud and Langchain
Example of building a chatbot with Langchain and Supabase Vector.
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."