AdalFlow: The library to build & auto-optimize any LLM tasks.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

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.

Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。

Local first semantic code search and chat powered by vector embeddings and LLMs

🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵

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.

a common faiss searcher

An extension for oobabooga/text-generation-webui that enables the LLM to search the web using DuckDuckGo

faiss serving :)

DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.

Multilingual Retrieval on Yelp Search Engine ⚡

A web service build on top of Facebook's Faiss

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Fast and customizable framework for automatic and quick Causal Inference in Python

一种利用Langchain框架和本地向量库实现的对话式BI，它的目标是帮助用户寻找、理解数据知识，并能够分析数据、洞察结果，通过自然语言对话，降低数据分析的门槛。

An AI-powered chatbot integrated with Telegram, using OpenAI GPT-3.5 Turbo, language embeddings, and FAISS for similarity search to provide more contextually relevant responses to user queries

由时间空间成对组成的轨迹序列，通过循环神经网络lstm，自编码器auto-encode，时空密度聚类st-dbscan做异常检测

Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions.