A high-performance data processing and indexing framework for AI, supporting incremental processing and semantic indexing.
RAG
An open-source enterprise AI middleware for building production-ready agents, workflows, and RAG-enabled applications.
An intelligent memory infrastructure combining vector, full-text and graph retrieval for multi-agent scenarios.
An open-source platform based on RAGFlow that extends document processing, hybrid retrieval, and evaluation-feedback capabilities.
An open-source enterprise document agent platform combining RAG and multi-model support to provide citation-backed answers.
A graph-centric Retrieval-Augmented Generation workflow for deep searching over graph-structured data.
A self-hostable ‘second brain’ platform that turns web pages and documents into a searchable knowledge base and supports custom agents and automations.
An AI-native database that delivers hybrid search over dense vectors, sparse vectors, tensors, full-text and structured data.
An open-source LLM DevOps platform for enterprise scenarios, offering workflows, RAG, model management and observability.
An open-source testing platform and SDK for LLM and agentic applications that generates test scenarios and evaluates model outputs.