“data & retrieval”

Open-source context retrieval layer for AI agents

FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems using LLMs, offering out-of-the-box capabilities like data processing, RAG retrieval, and visual A

Open-Source Agentic AI Data Assistant

One portable memory layer for every AI agent

Proactive context-aware AI partner

Data-Driven Evaluation for LLM-Powered Applications

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Neum AI is a best-in-class framework for managing vector embeddings at large scale.

Deeplake: AI Data Runtime for Agents

High-performance vector database built for scalable vector ANN search

Fast, streaming indexing, query, and agentic LLM applications in Rust

🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage.

Convert documents to structured data effortlessly

Streamlit app for RAG pipeline creation with natural language interface

Multi-modal vector database supporting unified SQL access to structured and unstructured data

Incremental engine for long horizon agents

Graph-based Retrieval-Augmented Generation (RAG) system

Developer-friendly embedded retrieval library for multimodal AI

Summary of the world's best LLM resources.

End-to-end notebooks for using Weaviate features and integrations