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

💬 Ready-to-use, flexible RAG Chatbot.

Java version of LangChain

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

ChatGTP (gpt3.5-turbo) starter app

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

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🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

A dead-simple API to build LLM-powered apps

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

Postgres/pgvector Python Client

A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.

🔍 DiscovAI-Search: An AI-powered search engine for AI tools and custom data. Built with Next.js, OpenAI, Supabase, and more. Features vector-based search, Redis caching, and LLM-powered responses.

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Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

Template for building your own custom ChatGPT style doc search powered by Fresh, Deno, OpenAI, and Supabase.

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)

Batch convert video to text using openai's whisper or the local coreML via whisper.cpp on your MacBook

Prototype app enabling job description search using natural language description of a job seeker.