v1.13 Release Note (Draft)
New Features
- New, significant feature: AI Agent
- Build intelligent agents easily based on your own knowledges to enable them to answer more specialized and specific questions.
- This feature requires a PostgreSQL database (either local or remote, currently only PostgreSQL is supported) with the pgvector extension installed. The knowledge base’s vector data will be stored in this database.
- Configuration steps: Configure the LLM model -> Configure the database connection -> Create a dataset -> Perform embedding -> Create an agent
- Usage: Select the Agent tab in the left sidebar -> Select the name of your agent -> Enter content in the chat box to start a conversation with the agent.
Improvements
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Added a global option to hide file extensions in the workspace directory tree, the recently opened files list, and the opened file tabs.
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Improved the configuration of the currently used model in Gen-AI, now allowing you to select different models for both content generation and content summarization.
Bug Fixes
N/A
Dependencies
Created at 2025-09-06 23:26:02