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OpenCode plugin that gives coding agents persistent memory using local vector database

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Fast BM25 search in Python, powered by Numpy and Numba

YouTube Full Text Search - Search all of YouTube from the command line

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

Efficient Retrieval Augmentation and Generation Framework

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Meet Ava, the WhatsApp Agent

Building blocks for rapid development of GenAI applications

A fast, efficient universal vector embedding utility package.

Hivemind turns your traces into reusable skills across agents

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

Data augmentation for NLP, presented at EMNLP 2019

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

When Philosophy meets AI

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]

A simple, fast and versatile Datalog database

Comprehensive guide to learn RAG from basics to advanced.

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

A group of notebooks and other files which can help you learn AI from scratch.

Your entire engineering context, deeply understood

Persian NLP Toolkit

😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.

Python SDK for Milvus Vector Database

AI 应用平台（聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆） | AI application platform (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.

Python client for Qdrant vector search engine

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

Solves basic Russian NLP tasks, API for lower level Natasha projects

Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.

LangChat 是Java&LangChain4j生态的开源 AI Agent 应用平台，支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。

A free, open-source Obsidian plugin that makes your vault smarter: better search, an interactive knowledge graph, and an AI assistant that knows your notes.

Neo4j GraphRAG for Python

An AI knowledge base/agent built with .Net 9, AntBlazor, Semantic Kernel, and Kernel Memory, supporting local offline AI large models. It can run offline without an internet connection. Supports Aspire for monitoring application data.

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

local-first semantic code search engine

Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

GPU-accelerated force graph layout and rendering