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--- |
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sidebar_position: 2 |
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slug: /release_notes |
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--- |
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# Release notes |
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Key features, improvements and bug fixes in the latest releases. |
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## v0.15.1 |
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Released on December 25, 2024. |
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### Upgrades |
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- Upgrades RAGFlow's document engine [Infinity](https://github.com/infiniflow/infinity) to v0.5.2. |
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- Enhances the log display of document parsing status. |
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### Fixed issues |
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This release fixes the following issues: |
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- The `SCORE not found` and `position_int` errors returned by [Infinity](https://github.com/infiniflow/infinity). |
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- Once an embedding model in a specific knowledge base is changed, embedding models in other knowledge bases can no longer be changed. |
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- Slow response in question-answering and AI search due to repetitive loading of the embedding model. |
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- Fails to parse documents with RAPTOR. |
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- Using the **Table** parsing method results in information loss. |
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- Miscellaneous API issues. |
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### Related APIs |
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#### HTTP APIs |
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Adds an optional parameter `"user_id"` to the following APIs: |
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- [Create session with chat assistant](https://ragflow.io/docs/dev/http_api_reference#create-session-with-chat-assistant) |
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- [Update chat assistant's session](https://ragflow.io/docs/dev/http_api_reference#update-chat-assistants-session) |
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- [List chat assistant's sessions](https://ragflow.io/docs/dev/http_api_reference#list-chat-assistants-sessions) |
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- [Create session with agent](https://ragflow.io/docs/dev/http_api_reference#create-session-with-agent) |
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- [Converse with chat assistant](https://ragflow.io/docs/dev/http_api_reference#converse-with-chat-assistant) |
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- [Converse with agent](https://ragflow.io/docs/dev/http_api_reference#converse-with-agent) |
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- [List agent sessions](https://ragflow.io/docs/dev/http_api_reference#list-agent-sessions) |
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## v0.15.0 |
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Released on December 18, 2024. |
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### New features |
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- Introduces additional Agent-specific APIs. |
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- Supports using page rank score to improve retrieval performance when searching across multiple knowledge bases. |
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- Offers an iframe in Chat and Agent to facilitate the integration of RAGFlow into your webpage. |
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- Adds a Helm chart for deploying RAGFlow on Kubernetes. |
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- Supports importing or exporting an agent in JSON format. |
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- Supports step run for Agent components/tools. |
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- Adds a new UI language: Japanese. |
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- Supports resuming GraphRAG and RAPTOR from a failure, enhancing task management resilience. |
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- Adds more Mistral models. |
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- Adds a dark mode to the UI, allowing users to toggle between light and dark themes. |
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### Improvements |
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- Upgrades the Document Layout Analysis model in Deepdoc. |
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- Significantly enhances the retrieval performance when using [Infinity](https://github.com/infiniflow/infinity) as document engine. |
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### Related APIs |
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#### HTTP APIs |
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- [List agent sessions](https://ragflow.io/docs/dev/http_api_reference#list-agent-sessions) |
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- [List agents](https://ragflow.io/docs/dev/http_api_reference#list-agents) |
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#### Python APIs |
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- [List agent sessions](https://ragflow.io/docs/dev/python_api_reference#list-agent-sessions) |
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- [List agents](https://ragflow.io/docs/dev/python_api_reference#list-agents) |
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## v0.14.1 |
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Released on November 29, 2024. |
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### Improvements |
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Adds [Infinity's configuration file](https://github.com/infiniflow/ragflow/blob/main/docker/infinity_conf.toml) to facilitate integration and customization of [Infinity](https://github.com/infiniflow/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](https://github.com/infiniflow/ragflow/pull/3715) |
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### Fixed issues |
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This release fixes the following issues: |
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- Unable to display or edit content of a chunk after clicking it. |
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- A `'Not found'` error in Elasticsearch. |
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- Chinese text becoming garbled during parsing. |
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- A compatibility issue with Polars. |
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- A compatibility issue between Infinity and GraphRAG. |
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## v0.14.0 |
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Released on November 26, 2024. |
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### New features |
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- Supports [Infinity](https://github.com/infiniflow/infinity) or Elasticsearch (default) as document engine for vector storage and full-text indexing. [#2894](https://github.com/infiniflow/ragflow/pull/2894) |
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- Enhances user experience by adding more variables to the Agent and implementing auto-saving. |
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- Adds a three-step translation agent template, inspired by [Andrew Ng's translation agent](https://github.com/andrewyng/translation-agent). |
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- Adds an SEO-optimized blog writing agent template. |
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- Provides HTTP and Python APIs for conversing with an agent. |
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- Supports the use of English synonyms during retrieval processes. |
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- Optimizes term weight calculations, reducing the retrieval time by 50%. |
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- Improves task executor monitoring with additional performance indicators. |
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- Replaces Redis with Valkey. |
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- Adds three new UI languages (*contributed by the community*): Indonesian, Spanish, and Vietnamese. |
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### Compatibility changes |
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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](https://github.com/infiniflow/ragflow/pull/3341) |
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This approach eliminates the need to manually update **service_config.yaml** after making changes to **.env**, facilitating dynamic environment configurations. |
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:::danger IMPORTANT |
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Ensure that you [upgrade **both** your code **and** Docker image to this release](https://ragflow.io/docs/dev/upgrade_ragflow#upgrade-ragflow-to-the-most-recent-officially-published-release) before trying this new approach. |
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::: |
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### Related APIs |
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#### HTTP APIs |
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- [Create session with agent](https://ragflow.io/docs/dev/http_api_reference#create-session-with-agent) |
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- [Converse with agent](https://ragflow.io/docs/dev/http_api_reference#converse-with-agent) |
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#### Python APIs |
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- [Create session with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent) |
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- [Converse with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent) |
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### Documentation |
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#### Added documents |
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- [Configurations](https://ragflow.io/docs/dev/configurations) |
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- [Manage team members](https://ragflow.io/docs/dev/manage_team_members) |
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- [Run health check on RAGFlow's dependencies](https://ragflow.io/docs/dev/run_health_check) |
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## v0.13.0 |
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Released on October 31, 2024. |
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### New features |
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- Adds the team management functionality for all users. |
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- Updates the Agent UI to improve usability. |
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- Adds support for Markdown chunking in the **General** chunk method. |
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- Introduces an **invoke** tool within the Agent UI. |
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- Integrates support for Dify's knowledge base API. |
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- Adds support for GLM4-9B and Yi-Lightning models. |
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- Introduces HTTP and Python APIs for dataset management, file management within dataset, and chat assistant management. |
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:::tip NOTE |
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To download RAGFlow's Python SDK: |
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```bash |
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pip install ragflow-sdk==0.13.0 |
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``` |
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::: |
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### Documentation |
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#### Added documents |
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- [Acquire a RAGFlow API key](https://ragflow.io/docs/dev/acquire_ragflow_api_key) |
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- [HTTP API Reference](https://ragflow.io/docs/dev/http_api_reference) |
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- [Python API Reference](https://ragflow.io/docs/dev/python_api_reference) |
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## v0.12.0 |
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Released on September 30, 2024. |
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### New features |
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- Offers slim editions of RAGFlow's Docker images, which do not include built-in BGE/BCE embedding or reranking models. |
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- Improves the results of multi-round dialogues. |
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- Enables users to remove added LLM vendors. |
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- Adds support for **OpenTTS** and **SparkTTS** models. |
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- 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. |
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- Adds agent tools **YahooFance** and **Jin10**. |
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- Adds an investment advisor agent template. |
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### Compatibility changes |
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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. |
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The default Docker image edition is `nightly-slim`. The following list clarifies the differences between various editions: |
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- `nightly-slim`: The slim edition of the most recent tested Docker image. |
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- `v0.12.0-slim`: The slim edition of the most recent **officially released** Docker image. |
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- `nightly`: The full edition of the most recent tested Docker image. |
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- `v0.12.0`: The full edition of the most recent **officially released** Docker image. |
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See [Upgrade RAGFlow](https://ragflow.io/docs/dev/upgrade_ragflow) for instructions on upgrading. |
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### Documentation |
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#### Added documents |
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- [Upgrade RAGFlow](https://ragflow.io/docs/dev/upgrade_ragflow) |
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## v0.11.0 |
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Released on September 14, 2024. |
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### New features |
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- Introduces an AI search interface within the RAGFlow UI. |
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- Supports audio output via **FishAudio** or **Tongyi Qwen TTS**. |
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- Allows the use of Postgres for metadata storage, in addition to MySQL. |
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- Supports object storage options with S3 or Azure Blob. |
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- Supports model vendors: **Anthropic**, **Voyage AI**, and **Google Cloud**. |
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- Supports the use of **Tencent Cloud ASR** for audio content recognition. |
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- Adds finance-specific agent components: **WenCai**, **AkShare**, **YahooFinance**, and **TuShare**. |
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- Adds a medical consultant agent template. |
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- Supports running retrieval benchmarking on the following datasets: |
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- [ms_marco_v1.1](https://huggingface.co/datasets/microsoft/ms_marco) |
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- [trivia_qa](https://huggingface.co/datasets/mandarjoshi/trivia_qa) |
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- [miracl](https://huggingface.co/datasets/miracl/miracl) |
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## v0.10.0 |
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Released on August 26, 2024. |
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### New features |
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- Introduces a text-to-SQL template in the Agent UI. |
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- Implements Agent APIs. |
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- Incorporates monitoring for the task executor. |
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- Introduces Agent tools **GitHub**, **DeepL**, **BaiduFanyi**, **QWeather**, and **GoogleScholar**. |
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- Supports chunking of EML files. |
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- Supports more LLMs or model services: **GPT-4o-mini**, **PerfXCloud**, **TogetherAI**, **Upstage**, **Novita.AI**, **01.AI**, **SiliconFlow**, **XunFei Spark**, **Baidu Yiyan**, and **Tencent Hunyuan**. |
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## v0.9.0 |
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Released on August 6, 2024. |
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### New features |
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- Supports GraphRAG as a chunk method. |
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- Introduces Agent component **Keyword** and search tools, including **Baidu**, **DduckDuckGo**, **PubMed**, **Wikipedia**, **Bing**, and **Google**. |
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- Supports speech-to-text recognition for audio files. |
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- Supports model vendors **Gemini** and **Groq**. |
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- Supports inference frameworks, engines, and services including **LM studio**, **OpenRouter**, **LocalAI**, and **Nvidia API**. |
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- Supports using reranker models in Xinference. |
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## v0.8.0 |
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Released on July 8, 2024. |
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### New features |
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- Supports Agentic RAG, enabling graph-based workflow construction for RAG and agents. |
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- Supports model vendors **Mistral**, **MiniMax**, **Bedrock**, and **Azure OpenAI**. |
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- Supports DOCX files in the MANUAL chunk method. |
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- Supports DOCX, MD, and PDF files in the Q&A chunk method. |
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## v0.7.0 |
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Released on May 31, 2024. |
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### New features |
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- Supports the use of reranker models. |
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- Integrates reranker and embedding models: [BCE](https://github.com/netease-youdao/BCEmbedding), [BGE](https://github.com/FlagOpen/FlagEmbedding), and [Jina](https://jina.ai/embeddings/). |
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- Supports LLMs Baichuan and VolcanoArk. |
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- Implements [RAPTOR](https://arxiv.org/html/2401.18059v1) for improved text retrieval. |
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- Supports HTML files in the GENERAL chunk method. |
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- Provides HTTP and Python APIs for deleting documents by ID. |
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- Supports ARM64 platforms. |
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:::danger IMPORTANT |
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While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM. |
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If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image. |
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### Related APIs |
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#### HTTP API |
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- [Delete documents](https://ragflow.io/docs/dev/http_api_reference#delete-documents) |
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#### Python API |
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- [Delete documents](https://ragflow.io/docs/dev/python_api_reference#delete-documents) |
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## v0.6.0 |
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Released on May 21, 2024. |
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### New features |
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- Supports streaming output. |
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- Provides HTTP and Python APIs for retrieving document chunks. |
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- Supports monitoring of system components, including Elasticsearch, MySQL, Redis, and MinIO. |
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- Supports disabling **Layout Recognition** in the GENERAL chunk method to reduce file chunking time. |
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### Related APIs |
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#### HTTP API |
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- [Retrieve chunks](https://ragflow.io/docs/dev/http_api_reference#retrieve-chunks) |
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#### Python API |
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- [Retrieve chunks](https://ragflow.io/docs/dev/python_api_reference#retrieve-chunks) |
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## v0.5.0 |
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Released on May 8, 2024. |
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### New features |
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- Supports LLM DeepSeek. |
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