#Faiss
Showing 54 of 54 repositories tagged #faiss, ranked by stars
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
A lightweight, lightning-fast, in-process vector database
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
A vector index built on TurboQuant, written in Rust with Python bindings
AdalFlow: The library to build & auto-optimize LLM applications.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Text-To-Speech, RAG, and LLMs. All local!
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
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。
A flexible, adaptive classification system for dynamic text classification
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
Local first semantic code search and chat | Leverage custom copilots with fine-tuning datasets from code in Alpaca, Conversational, Completion and Instruction format
Visualize hnsw, faiss and other anns index
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/
🤖 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.
Local-first, zero-key semantic code search for large and custom codebases — hybrid vector + keyword retrieval with symbol-aware chunking. Usable as a CLI, Python library, REST API, or web UI.
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.
a common faiss searcher
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。
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.
🤖 基于深度学习的AI量化投资系统 | Vision-Based Quantitative Trading System with Deep Learning
Fast and customizable framework for automatic and quick Causal Inference in Python
Go bindings for Faiss
An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.
This project is a Local RAG system built for the NYU Machine Learning course.
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
A sophisticated RAG intelligence engine for Singaporean laws, policies, and history. Comes with a triple-AI failover backend (Gemini/Llama/Groq), semantic embeddings using FAISS, and an Apple-inspired interactive UI. Designed with precision and high availability in mind.
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
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
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.
fully local RAG system using ollama and faiss
A simple, local-first RAG framework for building document Q&A applications
Reddit AI Agent is an intelligent tool that helps you explore Reddit like never before! 🔎 It allows you to search for any query and fetch top Reddit threads along with their most relevant comments. 🚀
AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.
这是为希望学习FAISS向量数据库的同学准备的全面入门指导，帮助你快速建立相关概念，更好地阅读官方文档。
Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.
A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.
Sentence-Transformers Information Retrieval example on Chinese
Implementation of Corrective RAG using LangChain and LangGraph.
An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.
"Solace AI: Your Empathetic Digital Confidant": Solace AI is an empathetic mental health companion that understands your emotions and personality to provide personalized support through natural conversations. It creates a judgment-free space where you can express yourself freely and receive compassionate guidance tailored just for you.
SageMaker Ployglot based RAG opensearch