V4.7 (Initialization Required)

1. Update Configuration File

Added Boolean values to control which models are available for different feature modules, and added model logos. View the latest configuration file

2. Initialization Script

After upgrading the image, send 1 HTTP request from any terminal. Replace {{rootkey}} with the rootkey from your environment variables, and {{host}} with your domain.

curl --location --request POST 'https://{{host}}/api/admin/initv47' \
--header 'rootkey: {{rootkey}}' \
--header 'Content-Type: application/json'

Script functions:

1. Initializes the parentId for plugins.

3. Upgrade ReRank Model

V4.7 changed the ReRank model format to be compatible with Cohere's format, allowing direct use of Cohere's API. If you're using a local ReRank model, update the image to: registry.cn-hangzhou.aliyuncs.com/fastgpt/bge-rerank-base:v0.1.

Cohere's reranking model doesn't perform as well with Chinese text compared to BGE. To integrate Cohere:

1. Apply for a Cohere API key: https://dashboard.cohere.com/api-keys
2. Update the FastGPT configuration file:

{
  "reRankModels": [
    {
      "model": "rerank-multilingual-v2.0", // The model name must match a Cohere model
      "name": "Rerank", // Any display name
      "requestUrl": "https://api.cohere.ai/v1/rerank",
      "requestAuth": "Your Cohere API key"
    }
  ]
}

V4.7 Release Notes

1. New - Tool calling module that allows LLM models to dynamically select other modules or plugins based on user intent.
2. New - Classification and content extraction now support functionCall mode. Models that support functionCall but not toolCall can now be used. Set functionCall to true and toolChoice to false in the LLM model configuration. If toolChoice is true, tool mode will be used instead.
3. New - HTTP plugin for quickly generating plugins via OpenAPI.
4. New - ReRank model now compatible with Cohere's format, enabling direct use of Cohere's rerank models.
5. New - Helm chart installation support.
6. Improved - Advanced workflow editor performance.
7. Improved - Extracted Flow controller to packages.
8. Improved - AI model selection.
9. Improved - Manual Knowledge Base input dialog.
10. Improved - Variable input dialog.
11. Improved - Docker deployment now auto-initializes replica sets.
12. Improved - Browser file reading now auto-detects encoding to reduce garbled text.
13. Fixed - Community edition rerank model selection not working.
14. Fixed - HTTP request body sending undefined when not in use (caused some GET requests to fail).
15. New - HTTP URL now supports variables.
16. Fixed - V4.6.9 extraction prompts prone to hallucination.
17. Fixed - PG HNSW index not actually taking effect. After this update, search speed is significantly improved (though there may be some precision loss — refer to the PgVector documentation for index tuning). Details: https://github.com/pgvector/pgvector?tab=readme-ov-file#troubleshooting
18. Fixed - Safari browser voice input issue.
19. Fixed - Custom split rules now accept regex special characters (previously caused frontend crashes).