A cloud-native vector database, storage for next generation AI applications
-
Updated
May 14, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
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.
Standalone app for easy RAG with local LLM
This is an end to end LLM project based on Google Generative AI and Langchain. In this project I built a Q&A system based on a data from an e-learning company called codebasic
AI song recommendations based on the feel of a song
Fast and customizable framework for automatic and quick Causal Inference in Python
Welcome to the Travel Guide Chatbot project! This innovative chatbot is designed to assist users in navigating their travel experiences, powered by cutting-edge AI technologies.
Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
An extension for oobabooga/text-generation-webui that enables the LLM to search the web using DuckDuckGo
Python full-stack application that leverages technologies such as Python, PyPDF2, Langchain, Firebase, Lottie, Faiss, Hugginface embedding models, and Streamlit to facilitate multi-PDF analysis through natural language processing, providing users with a seamless and intuitive experience for processing PDFs and obtaining content-related insights
Chat with multiple web pages
Lightweight RAG Framework: Simple and Scalable Framework with Efficient Embeddings. Leverage: FAISS, ChromaDB, and Ollama
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。
Add a description, image, and links to the faiss topic page so that developers can more easily learn about it.
To associate your repository with the faiss topic, visit your repo's landing page and select "manage topics."