Firebase 开源替代品。Firebase是谷歌旗下的一款实时数据云服务平台，它能帮助开发者很快的写出Web端和移动端的应用。
#大语言模型#💬 Ready-to-use & flexible RAG Chatbot, supporting mainstream large language models (LLMs) such as DeepSeek-R1, Llama 3.3, Qwen2, OpenAI, and more.
#大语言模型#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
#网络爬虫#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.
#大语言模型#🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
#自然语言处理#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.
#大语言模型#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.
#大语言模型#🔍 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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#大语言模型#Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
#大语言模型#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)
Prototype app enabling job description search using natural language description of a job seeker.
Batch convert video to text using openai's whisper or the local coreML via whisper.cpp on your MacBook