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Releases

Key features, improvements and bug fixes in the latest releases.

v0.25.1

Released on April 29, 2026.

Improvements

  • API refactoring and unification: Migrated web apis to RESTful architecture across all endpoints. unified document creation and indexing flows while maintaining backward compatibility for legacy apis.
  • Parsing optimizations: Integrated opendataloader pdf backend and improved docling routing. implemented lazy loading and chunking for large pdfs to reduce memory usage.
  • Introduced lazy loading and chunked parsing for large pdfs to significantly lower the memory footprint.

Data source

Added bitbucket, gmail, google drive, and airtable with automated file deletion synchronization.

Model support

  • DeepSeek v4

Model provider

  • UCloud

Bug fixes

Resolved metadata visibility issues during v0.24.0 to v0.25.0 upgrades and fixed duplicate chat output.

v0.25.0

Released on April 21, 2026.

New features

  • Agent
    • Introduces seven prebuilt ingestion pipeline templates.
    • Agent apps can be published.
    • Supports sandbox code execution and chart generation.
    • Adds a beginner's data analytics Agent template.
  • Memory: Supports user-level memory storage and retrieval.
  • New UI language: Arabic (implemented a Right-to-Left layout), Bulgarian, and Turkish.
  • Ecosystem integration: RAGFlow datasets are accessible via OpenClaw.

Improvements

  • Optimizes Docx parsing by supporting image lazy-loading, reducing memory footprint.
  • Optimizes Chat, Agent, and Search embedded dialog pages for mobile compatibility.
  • Underlying system & infrastructure optimization:
    • Bumps RAGFlow's document engine, Elasticsearch to 9.x.
    • Switches the default object storage container to pgsty/minio due to the deprecation of the official MinIO images.
    • Adds database migration scripts; see this readme for further details.

Model support

  • MiniMax-M2.7 series
  • Perplexity embedding model (pplx-embed)
  • Tongyi rerank model

New model providers

  • avian.io
  • ragcon.ai

Data sources

  • Seafile
  • RSS
  • DingTalk AI Table
  • GitHub: Enables synchronization for deleted files.

v0.24.0

Released on February 10, 2026.

New features

  • Memory
    • Introduces memory management APIs (HTTP and Python).
    • Outputs Memory extraction log to the console.
  • Dataset
    • Supports batch metadata management.
    • Renames "ToC (Table of Contents)" to "PageIndex". See here.
  • Agent
    • Launches a new Chat-like Agent conversation management interface that retains sessions and dialogue history.
    • Introduces a multi-Sandbox mechanism supporting local gVisor and Alibaba Cloud, with compatibility for mainstream Sandbox APIs (configurable in the Admin page).
  • Chat
    • Adds a new "Thinking" mode and removes the previous "Reasoning" configuration option.
    • Optimizes retrieval strategies for deep-research scenarios, enhancing recall accuracy.
  • Admin
    • Supports multiple Admin accounts.
  • Model configuration center
    • Adds model connection test for new models.

MySQL alternative

  • Supports OceanBase as an alternative to MySQL.

Model support

  • Kimi 2.5
  • Stepfun 3
  • doubao-embedding-vision
  • PaddleOCR-VL

Data sources

  • Zendesk
  • Bitbucket

API changes

HTTP API

Memory management API

Python API

Memory management API

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
  • IMAP

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 input/output.
    • Supports configuring multiple Retrieval components per Agent component.
  • Ingestion pipeline
    • Supports extracting table of contents in the Transformer component to improve long-context RAG performance.
  • Dataset
    • Supports configuring context window for images and tables.
    • Introduces parent-child chunking strategy.
    • Supports auto-generation of metadata during file parsing.
  • Chat: Supports voice input.

Improvements

  • RAG: Accelerates GraphRAG generation significantly.
  • Bumps RAGFlow's document engine, Infinity to v0.6.15 (backward compatible).

Data sources

  • Google Cloud Storage
  • Gmail
  • Dropbox
  • WebDAV
  • Airtable

Model support

  • GPT-5.2
  • GPT-5.2 Pro
  • GPT-5.1
  • GPT-5.1 Instant
  • Claude Opus 4.5
  • MiniMax M2
  • GLM-4.7.
  • A MinerU configuration interface.
  • AI Badgr (model provider).

API changes

HTTP API

v0.22.1

Released on November 19, 2025.

Improvements

  • Agent:
    • Supports exporting Agent outputs in Word or Markdown formats.
    • Adds a List operations component.
    • Adds a Variable aggregator component.
  • Data sources:
    • Supports S3-compatible data sources, e.g., MinIO.
    • Adds data synchronization with JIRA.
  • Continues the redesign of the Profile page layouts.
  • Upgrades the Flask web framework from synchronous to asynchronous, increasing concurrency and preventing blocking issues caused when requesting upstream LLM services.

Fixed issues

  • A v0.22.0 issue: Users failed to parse uploaded files or switch embedding model in a dataset containing parsed files using a built-in model from a -full RAGFlow edition.
  • Image concatenated in Word documents. #11310
  • Mixed images and text were not correctly displayed in the chat history.

Newly supported models

  • Gemini 3 Pro Preview

v0.22.0

Released on November 12, 2025.

Breaking Changes

:::danger IMPORTANT From this release onwards, we ship only the slim edition (without embedding models) Docker image and no longer append the -slim suffix to the image tag. :::

New Features

  • Dataset:
    • Supports data synchronization from five online sources (AWS S3, Google Drive, Notion, Confluence, and Discord).
    • RAPTOR can be built across an entire dataset or on individual documents.
  • Ingestion pipeline: Supports Docling document parsing in the Parser component.
  • Launches a new administrative Web UI dashboard for graphical user management and service status monitoring.
  • Agent:
    • Supports structured output.
    • Supports metadata filtering in the Retrieval component.
    • Introduces a Variable aggregator component with data operation and session variable definition capabilities.

Improvements

  • Agent: Supports visualizing previous components' outputs in the Await Response component.
  • Revamps the model provider page.
  • Upgrades RAGFlow's document engine Infinity to v0.6.5.

Added Models

  • Kimi-K2-Thinking

New agent templates

  • Interactive Agent, incorporates real-time user feedback to dynamically optimize Agent output.

v0.21.1

Released on October 23, 2025.

New features

  • Experimental: Adds support for PDF document parsing using MinerU. See here.

Improvements

  • Enhances UI/UX for the dataset and personal center pages.
  • Upgrades RAGFlow's document engine, Infinity, to v0.6.1.

Fixed issues

  • An issue with video parsing.

v0.21.0

Released on October 15, 2025.

New features

  • Orchestratable ingestion pipeline: Supports customized data ingestion and cleansing workflows, enabling users to flexibly design their data flows or directly apply the official data flow templates on the canvas.
  • GraphRAG & RAPTOR write process optimized: Replaces the automatic incremental build process with manual batch building, significantly reducing construction overhead.
  • Long-context RAG: Automatically generates document-level table of contents (TOC) structures to mitigate context loss caused by inaccurate or excessive chunking, substantially improving retrieval quality. This feature is now available via a TOC extraction template. See here.
  • Video file parsing: Expands the system's multimodal data processing capabilities by supporting video file parsing.
  • Admin CLI: Introduces a new command-line tool for system administration, allowing users to manage and monitor RAGFlow's service status via command line.

Improvements

  • Redesigns RAGFlow's Login and Registration pages.
  • Upgrades RAGFlow's document engine Infinity to v0.6.0.

Newly supported models

  • Tongyi Qwen 3 series
  • Claude Sonnet 4.5
  • Meituan LongCat-Flash-Thinking

New agent templates

  • Company Research Report Deep Dive Agent: Designed for financial institutions to help analysts quickly organize information, generate research reports, and make investment decisions.
  • Orchestratable Ingestion Pipeline Template: Allows users to apply this template on the canvas to rapidly establish standardized data ingestion and cleansing processes.

v0.20.5

Released on September 10, 2025.

Improvements

  • Agent:
    • Agent Performance Optimized: Improves planning and reflection speed for simple tasks; optimizes concurrent tool calls for parallelizable scenarios, significantly reducing overall response time.
    • Four framework-level prompt blocks are available in the System prompt section, enabling customization and overriding of prompts at the framework level, thereby enhancing flexibility and control. See here.
    • Execute SQL component enhanced: Replaces the original variable reference component with a text input field, allowing users to write free-form SQL queries and reference variables. See here.
  • Chat: Re-enables Reasoning and Cross-language search.

Newly supported models

  • Meituan LongCat
  • Kimi: kimi-k2-turbo-preview and kimi-k2-0905-preview
  • Qwen: qwen3-max-preview
  • SiliconFlow: DeepSeek V3.1

Fixed issues

  • Dataset: Deleted files remained searchable.
  • Chat: Unable to chat with an Ollama model.
  • Agent:
    • A Cite toggle failure.
    • An Agent in task mode still required a dialogue to trigger.
    • Repeated answers in multi-turn dialogues.
    • Duplicate summarization of parallel execution results.

API changes

HTTP APIs

  • Adds a body parameter "metadata_condition" to the Retrieve chunks method, enabling metadata-based chunk filtering during retrieval. #9877

Python APIs

  • Adds a parameter metadata_condition to the Retrieve chunks method, enabling metadata-based chunk filtering during retrieval. #9877

v0.20.4

Released on August 27, 2025.

Improvements

  • Agent component: Completes Chinese localization for the Agent component.
  • Introduces the ENABLE_TIMEOUT_ASSERTION environment variable to enable or disable timeout assertions for file parsing tasks.
  • Dataset:
    • Improves Markdown file parsing, with AST support to avoid unintended chunking.
    • Enhances HTML parsing, supporting bs4-based HTML tag traversal.

Newly supported models

ZHIPU GLM-4.5

New Agent templates

Ecommerce Customer Service Workflow: A template designed to handle enquiries about product features and multi-product comparisons using the internal dataset, as well as to manage installation appointment bookings.

Fixed issues

  • Dataset:
    • Unable to share resources with the team.
    • Inappropriate restrictions on the number and size of uploaded files.
  • Chat:
    • Unable to preview referenced files in responses.
    • Unable to send out messages after file uploads.
  • An OAuth2 authentication failure.
  • A logical error in multi-conditioned metadata searches within a dataset.
  • Citations infinitely increased in multi-turn conversations.

v0.20.3

Released on August 20, 2025.

Improvements

  • Revamps the user interface for the Datasets, Chat, and Search pages.
  • Search and Chat: Introduces document-level metadata filtering, allowing automatic or manual filtering during chats or searches.
  • Search: Supports creating search apps tailored to various business scenarios
  • Chat: Supports comparing answer performance of up to three chat model settings on a single Chat page.
  • Agent:
    • Implements a toggle in the Agent component to enable or disable citation.
    • Introduces a drag-and-drop method for creating components.
  • Documentation: Corrects inaccuracies in the API reference.

New Agent templates

  • Report Agent: A template for generating summary reports in internal question-answering scenarios, supporting the display of tables and formulae. #9427

Fixed issues

  • The timeout mechanism introduced in v0.20.0 caused tasks like GraphRAG to halt.
  • Predefined opening greeting in the Agent component was missing during conversations.
  • An automatic line break issue in the prompt editor.
  • A memory leak issue caused by PyPDF. #9469

API changes

Deprecated

Create session with agent

v0.20.1

Released on August 8, 2025.

New Features

  • The Retrieval component now supports the dynamic specification of dataset names using variables.
  • The user interface now includes a French language option.

Newly supported models

  • GPT-5
  • Claude 4.1

New agent templates (both workflow and agentic)

  • Text-to-SQL data expert Workflow: Empowers non-technical teams (e.g., operations, product) to independently query business data.
  • Choose Your Knowledge Base Workflow: Lets users select a dataset to query during conversations. #9325
  • Choose Your Knowledge Base Agent: Delivers higher-quality responses with extended reasoning time, suited for complex queries. #9325

Fixed Issues

  • The Agent component was unable to invoke models installed via vLLM.
  • Agents could not be shared with the team.
  • Embedding an Agent into a webpage was not functioning properly.

v0.20.0

Released on August 4, 2025.

Compatibility changes

From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and all existing Agents from previous versions must be rebuilt following the upgrade.

New features

  • Unified orchestration of both Agents and Workflows.
  • A comprehensive refactor of the Agent, greatly enhancing its capabilities and usability, with support for Multi-Agent configurations, planning and reflection, and visual functionalities.
  • Fully implemented MCP functionality, allowing for MCP Server import, Agents functioning as MCP Clients, and RAGFlow itself operating as an MCP Server.
  • Access to runtime logs for Agents.
  • Chat histories with Agents available through the management panel.
  • Integration of a new, more robust version of Infinity, enabling the auto-tagging functionality with Infinity as the underlying document engine.
  • An OpenAI-compatible API that supports file reference information.
  • Support for new models, including Kimi K2, Grok 4, and Voyage embedding.
  • RAGFlow’s codebase is now mirrored on Gitee.
  • Introduction of a new model provider, Gitee AI.

New agent templates introduced

  • Multi-Agent based Deep research: Collaborative Agent teamwork led by a Lead Agent with multiple Subagents, distinct from traditional workflow orchestration.
  • An intelligent Q&A chatbot leveraging internal datasets, designed for customer service and training scenarios.
  • A resume analysis template used by the RAGFlow team to screen, analyze, and record candidate information.
  • A blog generation workflow that transforms raw ideas into SEO-friendly blog content.
  • An intelligent customer service workflow.
  • A user feedback analysis template that directs user feedback to appropriate teams through semantic analysis.
  • Trip planner: Uses web search and map MCP servers to assist with travel planning.
  • Photo text translator: Translates content from uploaded photos.
  • An information search assistant that retrieves answers from both internal datasets and the web.

v0.19.1

Released on June 23, 2025.

Fixed issues

  • A memory leak issue during high-concurrency requests.
  • Large file parsing freezes when GraphRAG entity resolution is enabled. #8223
  • A context error occurring when using Sandbox in standalone mode. #8340
  • An excessive CPU usage issue caused by Ollama. #8216
  • A bug in the Code Component. #7949
  • Added support for models installed via Ollama or VLLM when creating a dataset through the API. #8069
  • Enabled role-based authentication for S3 bucket access. #8149

Newly supported models

  • Qwen 3 Embedding. #8184
  • Voyage Multimodal 3. #7987

v0.19.0

Released on May 26, 2025.

New features

  • Cross-language search is supported in the Knowledge and Chat modules, enhancing search accuracy and user experience in multilingual environments, such as in Chinese-English datasets.
  • Agent component: A new Code component supports Python and JavaScript scripts, enabling developers to handle more complex tasks like dynamic data processing.
  • Enhanced image display: Images in Chat and Search now render directly within responses, rather than as external references. Knowledge retrieval testing can retrieve images directly, instead of texts extracted from images.
  • Claude 4 and ChatGPT o3: Developers can now use the newly released, most advanced Claude model and OpenAI’s latest ChatGPT o3 inference model.

The following features have been contributed by our community:

  • Agent component: Enables tool calling within the Generate Component. Thanks to notsyncing.
  • Markdown rendering: Image references in a markdown file can be displayed after chunking. Thanks to Woody-Hu.
  • Document engine support: OpenSearch can now be used as RAGFlow's document engine. Thanks to pyyuhao.

Documentation

Added documents

v0.18.0

Released on April 23, 2025.

Compatibility changes

From this release onwards, built-in rerank models have been removed because they have minimal impact on retrieval rates but significantly increase retrieval time.

New features

  • MCP server: enables access to RAGFlow's datasets via MCP.
  • DeepDoc supports adopting VLM model as a processing pipeline during document layout recognition, enabling in-depth analysis of images in PDF and DOCX files.
  • OpenAI-compatible APIs: Agents can be called via OpenAI-compatible APIs.
  • User registration control: administrators can enable or disable user registration through an environment variable.
  • Team collaboration: Agents can be shared with team members.
  • Agent version control: all updates are continuously logged and can be rolled back to a previous version via export.

Improvements

  • Enhanced answer referencing: Citation accuracy in generated responses is improved.
  • Enhanced question-answering experience: users can now manually stop streaming output during a conversation.

Documentation

Added documents

v0.17.2

Released on March 13, 2025.

Compatibility changes

  • Removes the Max_tokens setting from Chat configuration.
  • Removes the Max_tokens setting from Generate, Rewrite, Categorize, Keyword agent components.

From this release onwards, if you still see RAGFlow's responses being cut short or truncated, check the Max_tokens setting of your model provider.

Improvements

  • Adds OpenAI-compatible APIs.
  • Introduces a German user interface.
  • Accelerates knowledge graph extraction.
  • Enables Tavily-based web search in the Retrieval agent component.
  • Adds Tongyi-Qianwen QwQ models (OpenAI-compatible).
  • Supports CSV files in the General chunking method.

Fixed issues

  • Unable to add models via Ollama/Xinference, an issue introduced in v0.17.1.

API changes

HTTP APIs

Python APIs

v0.17.1

Released on March 11, 2025.

Improvements

  • Improves English tokenization quality.
  • Improves the table extraction logic in Markdown document parsing.
  • Updates SiliconFlow's model list.
  • Supports parsing XLS files (Excel 97-2003) with improved corresponding error handling.
  • Supports Huggingface rerank models.
  • Enables relative time expressions ("now", "yesterday", "last week", "next year", and more) in chat assistant and the Rewrite agent component.

Fixed issues

  • A repetitive knowledge graph extraction issue.
  • Issues with API calling.
  • Options in the PDF parser, aka Document parser, dropdown are missing.
  • A Tavily web search issue.
  • Unable to preview diagrams or images in an AI chat.

Documentation

Added documents

v0.17.0

Released on March 3, 2025.

New features

  • AI chat: Implements Deep research for agentic reasoning. To activate this, enable the Reasoning toggle under the Prompt engine tab of your chat assistant dialogue.
  • AI chat: Leverages Tavily-based web search to enhance contexts in agentic reasoning. To activate this, enter the correct Tavily API key under the Assistant settings tab of your chat assistant dialogue.
  • AI chat: Supports starting a chat without specifying datasets.
  • AI chat: HTML files can also be previewed and referenced, in addition to PDF files.
  • Dataset: Adds a PDF parser, aka Document parser, dropdown menu to dataset configurations. This includes a DeepDoc model option, which is time-consuming, a much faster naive option (plain text), which skips DLA (Document Layout Analysis), OCR (Optical Character Recognition), and TSR (Table Structure Recognition) tasks, and several currently experimental large model options. See here.
  • Agent component: (x) or a forward slash / can be used to insert available keys (variables) in the system prompt field of the Generate or Template component.
  • Object storage: Supports using Aliyun OSS (Object Storage Service) as a file storage option.
  • Models: Updates the supported model list for Tongyi-Qianwen (Qwen), adding DeepSeek-specific models; adds ModelScope as a model provider.
  • APIs: Document metadata can be updated through an API.

The following diagram illustrates the workflow of RAGFlow's Deep research:

The following is a screenshot of a conversation that integrates Deep research:

API changes

HTTP APIs

Adds a body parameter "meta_fields" to the Update document method.

Python APIs

Adds a key option "meta_fields" to the Update document method.

Documentation

Added documents

v0.16.0

Released on February 6, 2025.

New features

  • Supports DeepSeek R1 and DeepSeek V3.
  • GraphRAG refactor: Knowledge graph is dynamically built on an entire dataset rather than on an individual file, and automatically updated when a newly uploaded file starts parsing. See here.
  • Adds an Iteration agent component and a Research report generator agent template. See here.
  • New UI language: Portuguese.
  • Allows setting metadata for a specific file in a dataset to enhance AI-powered chats. See here.
  • Upgrades RAGFlow's document engine Infinity to v0.6.0.dev3.
  • Supports GPU acceleration for DeepDoc (see docker-compose-gpu.yml).
  • Supports creating and referencing a Tag dataset as a key milestone towards bridging the semantic gap between query and response.

:::danger IMPORTANT The Tag dataset feature is unavailable on the Infinity document engine. :::

Documentation

Added documents

v0.15.1

Released on December 25, 2024.

Upgrades

  • Upgrades RAGFlow's document engine Infinity to v0.5.2.
  • Enhances the log display of document parsing status.

Fixed issues

This release fixes the following issues:

  • The SCORE not found and position_int errors returned by Infinity.
  • Once an embedding model in a specific dataset is changed, embedding models in other datasets can no longer be changed.
  • Slow response in question-answering and AI search due to repetitive loading of the embedding model.
  • Fails to parse documents with RAPTOR.
  • Using the Table parsing method results in information loss.
  • Miscellaneous API issues.

API changes

HTTP APIs

Adds an optional parameter "user_id" to the following APIs:

v0.15.0

Released on December 18, 2024.

New features

  • Introduces additional Agent-specific APIs.
  • Supports using page rank score to improve retrieval performance when searching across multiple datasets.
  • Offers an iframe in Chat and Agent to facilitate the integration of RAGFlow into your webpage.
  • Adds a Helm chart for deploying RAGFlow on Kubernetes.
  • Supports importing or exporting an agent in JSON format.
  • Supports step run for Agent components/tools.
  • Adds a new UI language: Japanese.
  • Supports resuming GraphRAG and RAPTOR from a failure, enhancing task management resilience.
  • Adds more Mistral models.
  • Adds a dark mode to the UI, allowing users to toggle between light and dark themes.

Improvements

  • Upgrades the Document Layout Analysis model in DeepDoc.
  • Significantly enhances the retrieval performance when using Infinity as document engine.

API changes

HTTP APIs

Python APIs

v0.14.1

Released on November 29, 2024.

Improvements

Adds Infinity's configuration file to facilitate integration and customization of Infinity as a document engine. From this release onwards, updates to Infinity's configuration can be made directly within RAGFlow and will take effect immediately after restarting RAGFlow using docker compose. #3715

Fixed issues

This release fixes the following issues:

  • Unable to display or edit content of a chunk after clicking it.
  • A 'Not found' error in Elasticsearch.
  • Chinese text becoming garbled during parsing.
  • A compatibility issue with Polars.
  • A compatibility issue between Infinity and GraphRAG.

v0.14.0

Released on November 26, 2024.

New features

  • Supports Infinity or Elasticsearch (default) as document engine for vector storage and full-text indexing. #2894
  • Enhances user experience by adding more variables to the Agent and implementing auto-saving.
  • Adds a three-step translation agent template, inspired by Andrew Ng's translation agent.
  • Adds an SEO-optimized blog writing agent template.
  • Provides HTTP and Python APIs for conversing with an agent.
  • Supports the use of English synonyms during retrieval processes.
  • Optimizes term weight calculations, reducing the retrieval time by 50%.
  • Improves task executor monitoring with additional performance indicators.
  • Replaces Redis with Valkey.
  • Adds three new UI languages (contributed by the community): Indonesian, Spanish, and Vietnamese.

Compatibility changes

From this release onwards, service_config.yaml.template replaces service_config.yaml for configuring backend services. Upon Docker container startup, the environment variables defined in this template file are automatically populated and a service_config.yaml is auto-generated from it. #3341

This approach eliminates the need to manually update service_config.yaml after making changes to .env, facilitating dynamic environment configurations.

:::danger IMPORTANT Ensure that you upgrade both your code and Docker image to this release before trying this new approach. :::

API changes

HTTP APIs

Python APIs

Documentation

Added documents

v0.13.0

Released on October 31, 2024.

New features

  • Adds the team management functionality for all users.
  • Updates the Agent UI to improve usability.
  • Adds support for Markdown chunking in the General chunking method.
  • Introduces an invoke tool within the Agent UI.
  • Integrates support for Dify's knowledge base API.
  • Adds support for GLM4-9B and Yi-Lightning models.
  • Introduces HTTP and Python APIs for dataset management, file management within dataset, and chat assistant management.

:::tip NOTE To download RAGFlow's Python SDK:

bash
pip install ragflow-sdk==0.13.0

:::

Documentation

Added documents

v0.12.0

Released on September 30, 2024.

New features

  • Offers slim editions of RAGFlow's Docker images, which do not include built-in BGE/BCE embedding or reranking models.
  • Improves the results of multi-round dialogues.
  • Enables users to remove added LLM vendors.
  • Adds support for OpenTTS and SparkTTS models.
  • Implements an Excel to HTML toggle in the General chunking method, allowing users to parse a spreadsheet into either HTML tables or key-value pairs by row.
  • Adds agent tools YahooFinance and Jin10.
  • Adds an investment advisor agent template.

Compatibility changes

From this release onwards, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes two built-in embedding models.

The default Docker image edition is nightly-slim. The following list clarifies the differences between various editions:

  • nightly-slim: The slim edition of the most recent tested Docker image.
  • v0.12.0-slim: The slim edition of the most recent officially released Docker image.
  • nightly: The full edition of the most recent tested Docker image.
  • v0.12.0: The full edition of the most recent officially released Docker image.

See Upgrade RAGFlow for instructions on upgrading.

Documentation

Added documents

v0.11.0

Released on September 14, 2024.

New features

  • Introduces an AI search interface within the RAGFlow UI.
  • Supports audio output via FishAudio or Tongyi Qwen TTS.
  • Allows the use of Postgres for metadata storage, in addition to MySQL.
  • Supports object storage options with S3 or Azure Blob.
  • Supports model vendors: Anthropic, Voyage AI, and Google Cloud.
  • Supports the use of Tencent Cloud ASR for audio content recognition.
  • Adds finance-specific agent components: WenCai, AkShare, YahooFinance, and TuShare.
  • Adds a medical consultant agent template.
  • Supports running retrieval benchmarking on the following datasets:

v0.10.0

Released on August 26, 2024.

New features

  • Introduces a text-to-SQL template in the Agent UI.
  • Implements Agent APIs.
  • Incorporates monitoring for the task executor.
  • Introduces Agent tools GitHub, DeepL, BaiduFanyi, QWeather, and GoogleScholar.
  • Supports chunking of EML files.
  • Supports more LLMs or model services: GPT-4o-mini, PerfXCloud, TogetherAI, Upstage, Novita AI, 01.AI, SiliconFlow, PPIO, XunFei Spark, Jiekou.AI, Baidu Yiyan, and Tencent Hunyuan.

v0.9.0

Released on August 6, 2024.

New features

  • Supports GraphRAG as a chunking method.
  • Introduces Agent component Keyword and search tools, including Baidu, DuckDuckGo, PubMed, Wikipedia, Bing, and Google.
  • Supports speech-to-text recognition for audio files.
  • Supports model vendors Gemini and Groq.
  • Supports inference frameworks, engines, and services including LM studio, OpenRouter, LocalAI, and Nvidia API.
  • Supports using reranker models in Xinference.

v0.8.0

Released on July 8, 2024.

New features

  • Supports Agentic RAG, enabling graph-based workflow construction for RAG and agents.
  • Supports model vendors Mistral, MiniMax, Bedrock, and Azure OpenAI.
  • Supports DOCX files in the MANUAL chunking method.
  • Supports DOCX, MD, and PDF files in the Q&A chunking method.

v0.7.0

Released on May 31, 2024.

New features

  • Supports the use of reranker models.
  • Integrates reranker and embedding models: BCE, BGE, and Jina.
  • Supports LLMs Baichuan and VolcanoArk.
  • Implements RAPTOR for improved text retrieval.
  • Supports HTML files in the GENERAL chunking method.
  • Provides HTTP and Python APIs for deleting documents by ID.
  • Supports ARM64 platforms.

:::danger IMPORTANT While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM.

If you are on an ARM platform, follow this guide to build a RAGFlow Docker image. :::

API changes

HTTP API

Python API

v0.6.0

Released on May 21, 2024.

New features

  • Supports streaming output.
  • Provides HTTP and Python APIs for retrieving document chunks.
  • Supports monitoring of system components, including Elasticsearch, MySQL, Redis, and MinIO.
  • Supports disabling Layout Recognition in the GENERAL chunking method to reduce file chunking time.

API changes

HTTP API

Python API

v0.5.0

Released on May 8, 2024.

New features

  • Supports LLM DeepSeek.