BISHENG Files

🚀 BISHENG 2.2-release Version

🎙️ 1. Workspace supports voice interaction (ASR+TTS):

1.1 Speech input (ASR): Click the “microphone” icon in the input box to dictate text directly.

1.2 Voice playback (TTS): A new “speaker” icon appears next to AI replies; click it to listen to the audio readout.

1.3 Model support: In the admin system’s model settings, you can configure ASR and TTS models. Provider formats from OpenAI, Azure, and 通义千问 are supported.

✨ 2. Conversation experience upgrades:

2.1 Enhanced Markdown rendering: Conversation content now supports rendering Echarts charts and Mermaid flowcharts.

2.2 Conversation sharing: A new “Share” button lets you generate a public, read-only link to safely share conversation results with others.

💡 3. Workflow RAG capability upgrades

3.1 New “Knowledge Base Retrieval” node: A standalone document knowledge base retrieval node for use within workflows, allowing developers to perform retrieval operations more flexibly and obtain structured results (including metadata and text).

3.2 Advanced retrieval settings: “Advanced retrieval settings” are now available in both the “Knowledge Base Retrieval” node and the existing “Document Knowledge Base Q&A” node. You can adjust hybrid retrieval weights (keyword vs. vector), result length, and enable a Rerank (re-ranking) model for secondary ranking.

🎛️ 4. Model management optimizations

4.1 Advanced model parameters: Model management (LLM/Embedding) supports advanced parameter configuration. You can pass vendor-specific parameters (e.g., for 阿里云, 火山引擎) in JSON—such as temperature, enable_thinking—to support configuring hybrid “thinking” model modes and related needs.

4.2 Baidu Qianfan Cloud Platform authentication logic update: Qianfan has switched to an OpenAI-compatible mode (using Base URL and API Key). Users of Baidu models, please update your configuration.

🔐 5. App/Tool admin permissions: Apps (workflows, assistants, skills) and tools now support assigning “admin permissions” to facilitate team collaboration and management.

📚 6. Knowledge base management optimizations: The QA knowledge base now supports “Duplicate” and “Settings” (including changing the embedding model).

🛠️ 7. Historical knowledge base defect fix

7.1 Defect description: When the Document Knowledge Base and the QA Knowledge Base use the same embedding model, modifying content in either may affect the other’s data in Milvus, leading to unexpected retrieval results.

7.2 Root cause: In Milvus’s partition mode, multiple knowledge bases using the same embedding model share one collection. The files in the Document Knowledge Base and QA pairs in the QA Knowledge Base may have conflicting file_id values (different tables with auto-increment IDs). Therefore, operations on items with the same file_id—files or QA pairs—will affect the counterpart’s data in Milvus.

7.3 Fix: ① Upgrade to the 2.2 release; ② Use the script (https://dataelem.feishu.cn/wiki/WNqbwm8zyiPo9ukIw5ecCWcfnPe#share-MTpPdLnTXo0hl3xN7PqcXp6NnBe) to scan for problematic knowledge bases; ③ Run the script as needed to repair all knowledge bases.