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Implementation of the node2vec algorithm.

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in the cloud at https://endee.io and under the Endee Enterprise license. Free 30-day evaluation: https://docs.endee.io/v2/quick-start/enterprise

TrustRAG：The RAG Framework within Reliable input,Trusted output

GPT-vup BIliBili | 抖音 | AI | 虚拟主播

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]

Distributed training & inference for multimodal perception: shared embeddings across text, images, video, audio, code & graphs from 64 to 1024 dimensions 🖼️

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Open-source tool to visualise your RAG 🔮

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Benchmark for vector databases.

Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems

RAG Search API

A lightweight knowledge base for people and agents, with ultra fast indexing and most precise retrieval.

Open Source Semantic Search for your AI Agent

Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Implementation of triplet loss in TensorFlow

A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in

A deep dive into embeddings starting from fundamentals

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

🔎 Search the information available on a webpage using natural language instead of an exact string match.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Rust library for generating vector embeddings and reranking locally!

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

Parsing-free RAG supported by VLMs

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

A tool for learning vector representations of words and entities from Wikipedia

Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

Curated list of 2vec-type embedding models

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

RAG Time: A 5-week Learning Journey to Mastering RAG

📚 Process PDFs, Word documents and more with spaCy

Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.

Late Interaction Models Training & Retrieval

A repository of code samples for Vector search capabilities in Azure AI Search.

PostgreSQL vector database extension for building AI applications

Turn messy, real-world HTML into clean Markdown, from every major language.

A high performance Vector Database leveraging parallel graph computing

unified embedding model