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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.

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.

:::danger IMPORTANT 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

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:

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 dev-slim. The following list clarifies the differences between various editions:

  • dev-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.
  • dev: 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: