# ragflow

> RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

- **URL**: https://www.freshcrate.ai/projects/ragflow
- **Author**: infiniflow
- **Category**: MCP Servers
- **Latest version**: `v0.25.6` (2026-05-27)
- **License**: Apache-2.0
- **Source**: https://github.com/infiniflow/ragflow
- **Homepage**: https://ragflow.io
- **Language**: Python
- **GitHub**: 78,674 stars, 8,886 forks
- **Registry**: github
- **Tags**: `agent`, `agentic`, `agentic-ai`, `agentic-workflow`, `ai`, `context-engineering`, `context-retrieval`, `deep-research`, `python`

## Description

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `v0.25.6` | 2026-05-27 | High | ## Summary  Released on May 26, 2026.  ### New features  - Agent: Adds a **Browser** component that enables AI to autonomously navigate and interact with web pages. [#14888](https://github.com/infiniflow/ragflow/pull/14888)  ### Improvements  - RAG: RAPTOR construction now introduces AHC mode (Ψ-RAG), which expands semantics from the document level to the dataset level. Not only is index construction performance significantly higher than the previous RAPTOR, but it also outperforms the |
| `v0.25.5` | 2026-05-20 | High | ## Summary  Released on May 20, 2026.  ### New features  - Adds local & SSH providers in admin panel. [#15039](https://github.com/infiniflow/ragflow/pull/15039)  ### Improvements  - Accelerated dataset search path, reducing latency by 50–100% by removing expensive vector fetch and rerank similarity computation steps. [#14970](https://github.com/infiniflow/ragflow/pull/14970) - Pushes metadata filters down to Infinity, significantly speeding up metadata filtering. [#14974](https://gith |
| `v0.25.4` | 2026-05-14 | High | ## Summary  ### New features  - Adds a generic, configuration-driven RESTful API data source connector.  ### Improvements  - Agent tag management with filtering and sorting. - Widget customization and persistence.  ### Model support  - Adds gpt-5.4-mini and gpt-5.4-nano to the OpenAI model list  ### Bug fixes  Fixed dataset document download route.  ## What's Changed * Feature/generic api connector by @ahmadintisar in https://github.com/infiniflow/ragflow/pull/13545 * fix: |
| `v0.25.2` | 2026-05-09 | High | ## Summary  ### Improvements  - API refactoring and unification: Continues the transition of web APIs to RESTful conventions, ensuring backward compatibility for all legacy endpoints.  ### Data source  - Introduces a lightweight snapshot mechanism for synchronizing deleted files across eight data sources—including Moodle, DingTalk AI Table, and RSS—ensuring a faithful reflection of all remote data sources. [#14362](https://github.com/infiniflow/ragflow/issues/14362)[#14499](https://githu |
| `v0.25.1` | 2026-04-30 | High | ## Summary  ### Improvements  - API refactoring and unification: Standardizes web APIs to RESTful conventions across all endpoints, unifying document creation and indexing flows while maintaining backward compatibility. - Parsing optimizations: Adds [OpenDataLoader](https://github.com/opendataloader-project/opendataloader-pdf) PDF backend. [#14097](https://github.com/infiniflow/ragflow/pull/14097) - Introduces lazy loading and chunked parsing for large PDFs (>50 pages), significantly re |
| `v0.25.0` | 2026-04-21 | High | Release v0.25.0 created from a33d0737cdcd71fd220e2869c84f37225f0b51b5 at 2026-04-21 17:32:49+08:00  ## What's Changed * Docs: Added v0.24.0 release notes by @writinwaters in https://github.com/infiniflow/ragflow/pull/13096 * Fix: upload image files by @Magicbook1108 in https://github.com/infiniflow/ragflow/pull/13071 * Fix: Correct Gemini embedding model name in llm_factories.json by @ahmadintisar in https://github.com/infiniflow/ragflow/pull/13051 * Fix: Make time_utils tests timezone-ind |
| `v0.24.0` | 2026-02-10 | Low | # Summary  ## New features  - Memory   - Introduces APIs and an SDK for developer integration.   - Adds Memory extraction log display in the console for improved debugging and tracing. - Dataset   - Added support for batch management of Metadata.   - Renamed "ToC (Table of Contents)" to "PageIndex". - Agent   - Launches a new Chat-like Agent conversation management interface that retains Sessions and dialogue history.   - Introduces a multi-Sandbox mechanism, currently supporting loc |
| `v0.23.1` | 2025-12-31 | Low | ## v0.23.1  Released on December 31, 2025.  ### Improvements  - Memory: Enhances the stability of memory extraction when all memory types are selected. - RAG: Refines the context window extraction strategy for images and tables.   ### Fixed issues  - Memory:    - The RAGFlow server failed to start if an empty memory object existed.   - Unable to delete a newly created empty Memory. - RAG: MDX file parsing was not supported.  ### Data sources  - GitHub - Gitlab - Asana - IMA |
| `v0.23.0` | 2025-12-27 | Low | ## v0.23.0  Released on December 27, 2025.  ### New features  - Memory    - Implements a **Memory** interface for managing memory.    - Supports configuring context via the **Retrieval** or **Message** component. - Agent    - Improves the **Agent** component's performance by refactoring the underlying architecture.    - The **Agent** component can now output structured data for use in downstream components.    - Supports using webhook to trigger agent execution.    - Supports voice |
| `nightly` | 2025-12-01 | Low | Release nightly created from 74b44e1aa3ecd6687b3aa4ef731d0187720c3cb5 at 2026-04-21 21:38:13+08:00 |

## Citation

- HTML: https://www.freshcrate.ai/projects/ragflow
- Markdown: https://www.freshcrate.ai/projects/ragflow.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/ragflow/deps

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