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Version: DEV

Release notes

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

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 knowledge base is changed, embedding models in other knowledge bases 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.

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 knowledge bases.
  • 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.

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​

As of this release, 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.

IMPORTANT

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

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 chunk 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.
NOTE

To download RAGFlow's Python SDK:

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 chunk method, allowing users to parse a spreadsheet into either HTML tables or key-value pairs by row.
  • Adds agent tools YahooFance and Jin10.
  • Adds an investment advisor agent template.

Compatibility changes​

As of this release, 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 both built-in embedding models and embedding models that will be downloaded once you select them in the RAGFlow UI.

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, XunFei Spark, Baidu Yiyan, and Tencent Hunyuan.

v0.9.0​

Released on August 6, 2024.

New features​

  • Supports GraphRAG as a chunk method.
  • Introduces Agent component Keyword and search tools, including Baidu, DduckDuckGo, 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 chunk method.
  • Supports DOCX, MD, and PDF files in the Q&A chunk 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 chunk method.
  • Provides HTTP and Python APIs for deleting documents by ID.
  • Supports ARM64 platforms.
IMPORTANT

While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM.

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

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 chunk method to reduce file chunking time.

HTTP API​

Python API​

v0.5.0​

Released on May 8, 2024.

New features​

  • Supports LLM DeepSeek.