RAGFlow

What RAGFlow helps you do

RAGFlow is an open-source retrieval-augmented generation engine combining document parsing, retrieval and agent workflows. It suits technical teams building answers grounded in a controlled document collection.

Best for: Document retrieval pipelines with source references.

A small task to try

1. Deploy a test instance using the official setup
2. Ingest a short synthetic document with a table and a paragraph
3. Ask one lookup question and one question not covered
4. Compare source references and table values before expanding the collection

Illustrative input: From the test price table, report the monthly Basic price; if the value is missing, say not stated.

Illustrative expected result: The exact table value with a source reference, or a clear not-stated result. This is an editorial example, not a recorded vendor test. Check it against your original material before using it.

Access and buying guidance

The open-source engine is free under its repository licence. Hosting, storage and connected inference services are separate costs; this listing does not promise a free managed deployment.

Parsing and retrieval settings need evaluation on your own file formats. Start with the smallest useful task; keep the original input and compare the result before committing to a larger workflow.

Alternatives for a different workflow

Dify: build a retrieval-backed application with a visual workflow. Langflow: prototype retrieval and model components.

Sources and review

Reviewed 9 October 2026 against official product documentation and official pricing / access terms. Feature access and prices can change; the linked provider terms govern your account.