faiss

Lightweight Nearest Neighbors with Flexible Backends

🤖 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 🫵

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

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.

In-memory vector index for Go

Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

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.

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。

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.

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

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

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

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System

Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.

Faiss-based library for efficient similarity search

Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.

🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.

Telegram bot that answers questions over your PDFs using retrieval-augmented generation (LangChain + FAISS).