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.
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.
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 a template for an investment advisor agent.
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.