Added
- RAG(Retrieval-Augmented Generation) Component Version Update
This version provides a standard operating procedure for knowledge base construction and the RAG retrieval recall stage. The component covers a series of RAG atomic capabilities, including data loading, data processing, index construction, knowledge storage, intent rewriting, and retrieval re-ranking, helping users to quickly build a general RAG intelligent agent solution in open-source scenarios.
- Intelligent Agent Product Platform Update
This version introduces new capabilities such as intelligent agent canvas orchestration, private knowledge base construction, and custom plugin support, enabling users to quickly build and orchestrate intelligent agents through a low-code, visual approach.
- Added GLM Default Model Component for Zhipu
- Added SQLiteStore Storage Component
- Added Flow Orchestration Execution Engine
Note
- Default path optimization for system_db_uri
The default path is already compatible with the Windows platform, for more details, please refer to [issue142](https://github.com/alipay/agentUniverse/issues/142)
- Support for configurable chain stop words in ReactAgent
The ReactAgent YAML configuration now supports the stop_sequence keyword, allowing users to customize chain stop words. For more details, please refer to [issue127](https://github.com/alipay/agentUniverse/issues/127)
- Added an introduction to RAG principles and a quick guide for building RAG, please pay attention to the corresponding parts in the README and user guide.
- Added advanced guidance documents for the intelligent agent productization platform, please pay attention to the corresponding parts in the README and user guide.
- Various code optimizations and documentation updates.