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Update AI Management Module documentation for new v10.2 features#24941

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enisn merged 3 commits intorel-10.2from
EngincanV/update-10-2-ai-management-docs
Feb 25, 2026
Merged

Update AI Management Module documentation for new v10.2 features#24941
enisn merged 3 commits intorel-10.2from
EngincanV/update-10-2-ai-management-docs

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Description

Resolves https://github.com/volosoft/vs-internal/issues/8210

Checklist

  • I fully tested it as developer / designer and created unit / integration tests
  • I documented it (or no need to document or I will create a separate documentation issue)

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Images automagically compressed by Calibre's image-actions

Compression reduced images by 72.9%, saving 755.0 KB.

Filename Before After Improvement Visual comparison
docs/en/images/ai-management-mcp-test-connection.png 212.2 KB 56.0 KB 73.6% View diff
docs/en/images/ai-management-rag-chat.png 154.4 KB 31.8 KB 79.4% View diff
docs/en/images/ai-management-mcp-servers.png 136.2 KB 39.2 KB 71.2% View diff
docs/en/images/ai-management-chat-mcp-tools.png 125.6 KB 35.4 KB 71.8% View diff
docs/en/images/ai-management-openai-anythingllm.png 94.7 KB 32.6 KB 65.6% View diff
docs/en/images/ai-management-openai-anythingllm2.png 74.7 KB 19.9 KB 73.3% View diff
docs/en/images/ai-management-workspace-mcp-config.png 67.0 KB 19.4 KB 71.0% View diff
docs/en/images/ai-management-rag-upload.png 67.6 KB 22.5 KB 66.8% View diff
docs/en/images/workspace-vector-store.png 56.0 KB 12.7 KB 77.4% View diff
docs/en/images/workspace-embedder.png 47.5 KB 11.4 KB 76.0% View diff

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Pull request overview

This PR updates the AI Management Module documentation to reflect new features introduced in v10.2, including MCP server integration, RAG (Retrieval-Augmented Generation) with file upload capabilities, and OpenAI-compatible API endpoints.

Changes:

  • Added documentation for MCP (Model Context Protocol) server management and integration
  • Added comprehensive RAG documentation covering embedders, vector stores, and document upload functionality
  • Added OpenAI-compatible API documentation with usage examples and endpoint references
Comments suppressed due to low confidence (3)

docs/en/modules/ai-management/index.md:252

  • The maximum file size limit should be clarified with the unit format (e.g., '10 MB (megabytes)') to avoid potential confusion between MB and MiB, or specify whether this is a hard limit enforced by the system.
Maximum file size: **10 MB**.

docs/en/modules/ai-management/index.md:288

  • The use of double hyphens '--' for a dash is inconsistent with standard markdown formatting. Consider using an em dash '—' or restructuring the sentence for better readability.
Once RAG is configured on a workspace, you can upload documents through the workspace management UI. Uploaded documents are automatically processed -- their content is chunked, embedded, and stored in the configured vector store. You can then ask questions in the chat interface, and the AI model will use the uploaded documents as context.

docs/en/modules/ai-management/index.md:620

  • The example uses a hardcoded localhost URL with a specific port (44336). Consider using a placeholder like 'https://your-app-url/v1' to make it clear this should be replaced with the actual deployment URL, consistent with the general usage pattern described above.
    base_url="https://localhost:44336/v1",

@enisn enisn merged commit b3515ef into rel-10.2 Feb 25, 2026
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@enisn enisn deleted the EngincanV/update-10-2-ai-management-docs branch February 25, 2026 10:49
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2 participants