ragflow / docs /release_notes.md
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Added release notes for v0.13.0 (#3691)
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Release notes

Key features and improvements in the latest releases.

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.

Compatability 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.

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

Related APIs

HTTP APIs

Python APIs

Documentation

Added documents

v0.13.0

  • 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:

pip install ragflow-sdk==0.13.0

:::

Documentation

Added documents