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R
RAGFreemiumOpen Source
RAGFLOW
Open-source RAG engine with deep document understanding and agents
Apache-2.0
ABOUT
Most RAG systems suffer from poor document parsing that produces garbage context, limited retrieval accuracy, and lack of explainability. RAGFlow solves this with deep document understanding, template-based chunking, hybrid search with citations, and agent-based orchestration — making retrieved answers trustworthy and traceable.
INSTALL
git clone https://github.com/infiniflow/ragflow.git && cd ragflow/docker && docker compose -f docker-compose.yml up -dINTEGRATION GUIDE
1. Build enterprise knowledge bases that ingest Word, PDF, Excel, images, and web pages into searchable AI context
2. Automate equity investment research with multi-agent workflows that collect data and generate reports
3. Perform legal precedent analysis by extracting structured issues and retrieving comparable cases with citations
4. Create customer-support bots that ground answers in uploaded documentation with verifiable source references
TAGS
ragretrievaldocumentsagentsopen-sourceenterprise