ragflow/docs/release_notes.md

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sidebar_position: 2
slug: /release_notes
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# Release notes

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

## v0.14.1

Released on November 29, 2024.

### Improvements

Adds [Infinity's configuration file](https://github.com/infiniflow/ragflow/blob/main/docker/infinity_conf.toml) 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](https://github.com/infiniflow/ragflow/pull/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](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)
- 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](https://github.com/andrewyng/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](https://github.com/infiniflow/ragflow/pull/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](https://ragflow.io/docs/dev/upgrade_ragflow#upgrade-ragflow-to-the-most-recent-officially-published-release) before trying this new approach.
:::

### Related APIs

#### HTTP APIs

- [Create session with agent](https://ragflow.io/docs/dev/http_api_reference#create-session-with-agent)
- [Converse with agent](https://ragflow.io/docs/dev/http_api_reference#converse-with-agent)

#### Python APIs

- [Create session with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent)
- [Converse with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent)

### Documentation

#### Added documents

- [Configurations](https://ragflow.io/docs/dev/configurations)
- [Manage team members](https://ragflow.io/docs/dev/manage_team_members)
- [Run health check on RAGFlow's dependencies](https://ragflow.io/docs/dev/run_health_check)

## 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.

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

```bash
pip install ragflow-sdk==0.13.0
```
:::

### Documentation

#### Added documents

- [Acquire a RAGFlow API key](https://ragflow.io/docs/dev/acquire_ragflow_api_key)
- [HTTP API Reference](https://ragflow.io/docs/dev/http_api_reference)
- [Python API Reference](https://ragflow.io/docs/dev/python_api_reference)

## 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](https://ragflow.io/docs/dev/upgrade_ragflow) for instructions on upgrading.

### Documentation

#### Added documents

- [Upgrade RAGFlow](https://ragflow.io/docs/dev/upgrade_ragflow)

## 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:
    - [ms_marco_v1.1](https://huggingface.co/datasets/microsoft/ms_marco)
    - [trivia_qa](https://huggingface.co/datasets/mandarjoshi/trivia_qa)
    - [miracl](https://huggingface.co/datasets/miracl/miracl)