最有价值项目

Retrieval Augmented Generation (RAG) Application to offer Q&A like experience on a long format text using OpenAI and ElasticSearch as Vector DB.

Desktop GUI client for Turbopuffer vector database

🐬 Formation MariaDB 12.3 LTS : SQL, index, transactions, réplication, Galera, MaxScale, DevOps/Kubernetes et MariaDB Vector (IA/RAG). 20 modules.

Windows + Docker + Python 基于 Milvus + MySQL + Redis + 大模型的私有化 RAG 问答系统

The official Rust client for the Pinecone vector database

Elixir in memory VectorDB build with Rust using rustler! It's small, fast, efficient, simple!

An application that enable the users to upload PDF files and ask questions regarding their content using Retrieval Augmented Generation (RAG)

Open-source, self-hosted AI gateway for multi-tenant orgs: OpenAI-compatible LLM routing, RAG & vector stores, MCP hub, GPU fleet (MIG slicing), sandboxed coding agents, AI red-teaming & guardrails, and cost optimization — all in one console.

A filesystem-native vector database built around Markdown files. For AGENTS and MEMORY in mind. CLI first, folder based, no servers, no containers. Build with Rust for Performance.

A clojure wrapper for usearch, a fast open-source search & clustering engine for vectors.

smallevals — CPU-fast, GPU-blazing fast offline retrieval evaluation for RAG systems with tiny QA models.

[ICLR 2026] - Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery

Multimodal summarization of user-generated videos from wearable cameras

Telephony Server is a powerful bridge that connects telephony providers (Twilio, Vonage, Plivo, etc.) with real-time communication platforms (LiveKit, Jay.so, Pipecat, etc.). It enables seamless call routing, robust metrics collection, and observability features for enhanced telephony operations.

【NeurIPS 2024】The implementation of LIVE: Learnable In-Context Vector for Visual Question Answering https://arxiv.org/abs/2406.13185

A question-conditioned, reasoning-aware image editor designed to serve as a decoupled visual reasoning assistant for Multimodal Large Language Models (MLLMs).

Android 16 fork. AI as a platform primitive. Twelve capabilities, one shared runtime, every app. OEM-pluggable. Apache 2.0.

[CVPR 2024 CVinW] Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering

LipNet with gluon

Dataset and code implementation for the paper "Decoding the Underlying Meaning of Multimodal Hateful Memes" (IJCAI'23).