RAGFlow is an open-source retrieval-augmented generation engine combining document parsing, retrieval and agent workflows.
Best for: Document retrieval pipelines with source references
About this listing
Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.
Official sourceAn open-source Python framework for retrieval pipelines, document indexing, and tool-using AI agents.
Best suited to
Haystack suits developers assembling a document-grounded application from explicit components.
Haystack suits developers assembling a document-grounded application from explicit components. Indexing, retrieval, routing and generation can form a pipeline, while agents add tool use where the task needs it. The framework allows model and data-store choices; a managed enterprise offering is separate from operating the free software on your own infrastructure.
This example describes a task, not a tested output. Adjust the source material and settings to your own situation.
Answer a question from a small policy collection and return the document passages that support the answer; report when no passage matches.
Result check: Check retrieval selected the relevant version and ensure the generated answer does not add an unsupported policy.
The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.
Choose another workflow when its emphasis fits better: RAGFlow for a document-retrieval application; Dify for a more visual application-building workflow.
Document indexing pipelines
Retrieval and generation components
Routing and branching
Tool-using agents
Model and vector-store integrations
The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.
Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.
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Haystack suits developers assembling a document-grounded application from explicit components. Indexing, retrieval, routing and generation can form a pipeline, while agents add tool use where the task needs it. The framework allows model and data-store choices; a managed enterprise offering is separate from operating the free software on your own infrastructure.
The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.
Install the framework and select a supported document store and model. Build a small indexing pipeline for permitted documents.
Check retrieval selected the relevant version and ensure the generated answer does not add an unsupported policy.
RAGFlow for a document-retrieval application; Dify for a more visual application-building workflow.
Tell us what needs improving. No account or private output required.
Report incorrect information or a broken linkDocumentation-based review · 2026-10-15
Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.
RAGFlow is an open-source retrieval-augmented generation engine combining document parsing, retrieval and agent workflows.
Best for: Document retrieval pipelines with source references
AI app and workflow platform with model connections, knowledge pipelines, tools, and cloud or self-hosted deployment.
Best for: Workflow studio and Knowledge pipelines
A free desktop app where several AI bots chat in one group, each using your own model and API key, with chats and files kept on your computer.
Best for: Teebots is a free local AI assistant for macOS, Windows and Linux.