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[PR #30476] feat: Add Apache Doris vector store support #32841

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opened 2026-02-21 20:52:10 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 20:52:10 -05:00
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Original Pull Request: https://github.com/langgenius/dify/pull/30476

State: open
Merged: No

This commit adds Apache Doris as a new vector database option for Dify's RAG system.

Features:

  • Vector similarity search using cosine distance
  • Full-text search with BM25 scoring and inverted indexes
  • Hybrid search combining vector and text search
  • High-performance bulk data loading via StreamLoad
  • Connection pooling for efficient resource management
  • Support for multi-tenant isolation

Components added:

  • DorisVector: Main vector database implementation with cleaned code
  • DorisConfig: Configuration model with validation
  • DorisConnectionPool: Thread-safe connection management
  • DorisVectorFactory: Factory for creating Doris instances
  • DORIS_SETUP.md: Complete setup guide in English

Important

  1. Make sure you have read our contribution guidelines
  2. Ensure there is an associated issue and you have been assigned to it
  3. Use the correct syntax to link this PR: Fixes #<issue number>.

Summary

Screenshots

Before After
... ...

Checklist

  • This change requires a documentation update, included: Dify Document
  • I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
  • I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
  • I've updated the documentation accordingly.
  • I ran dev/reformat(backend) and cd web && npx lint-staged(frontend) to appease the lint gods
**Original Pull Request:** https://github.com/langgenius/dify/pull/30476 **State:** open **Merged:** No --- This commit adds Apache Doris as a new vector database option for Dify's RAG system. Features: - Vector similarity search using cosine distance - Full-text search with BM25 scoring and inverted indexes - Hybrid search combining vector and text search - High-performance bulk data loading via StreamLoad - Connection pooling for efficient resource management - Support for multi-tenant isolation Components added: - DorisVector: Main vector database implementation with cleaned code - DorisConfig: Configuration model with validation - DorisConnectionPool: Thread-safe connection management - DorisVectorFactory: Factory for creating Doris instances - DORIS_SETUP.md: Complete setup guide in English > [!IMPORTANT] > > 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) > 1. Ensure there is an associated issue and you have been assigned to it > 1. Use the correct syntax to link this PR: `Fixes #<issue number>`. ## Summary <!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. --> ## Screenshots | Before | After | |--------|-------| | ... | ... | ## Checklist - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs) - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!) - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change. - [x] I've updated the documentation accordingly. - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
yindo added the pull-request label 2026-02-21 20:52:10 -05:00
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Reference: langgenius/dify#32841
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