12 Commits

Author SHA1 Message Date
Xun
0e64c52975 refactor: Refactors the retriever function to use async/await (#821)
* refactor: Refactors the retriever function to use async/await
2026-01-20 19:56:26 +08:00
Anush
aa027faf95 feat: Qdrant Vector Search Support (#684)
* feat: Qdrant vector search support

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* chore: Review updates

Signed-off-by: Anush008 <anushshetty90@gmail.com>

---------

Signed-off-by: Anush008 <anushshetty90@gmail.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-11-11 19:35:00 +08:00
jimmyuconn1982
2510cc61de feat: Add intelligent clarification feature in coordinate step for research queries (#613)
* fix: support local models by making thought field optional in Plan model

- Make thought field optional in Plan model to fix Pydantic validation errors with local models
- Add Ollama configuration example to conf.yaml.example
- Update documentation to include local model support
- Improve planner prompt with better JSON format requirements

Fixes local model integration issues where models like qwen3:14b would fail
due to missing thought field in JSON output.

* feat: Add intelligent clarification feature for research queries

- Add multi-turn clarification process to refine vague research questions
- Implement three-dimension clarification standard (Tech/App, Focus, Scope)
- Add clarification state management in coordinator node
- Update coordinator prompt with detailed clarification guidelines
- Add UI settings to enable/disable clarification feature (disabled by default)
- Update workflow to handle clarification rounds recursively
- Add comprehensive test coverage for clarification functionality
- Update documentation with clarification feature usage guide

Key components:
- src/graph/nodes.py: Core clarification logic and state management
- src/prompts/coordinator.md: Detailed clarification guidelines
- src/workflow.py: Recursive clarification handling
- web/: UI settings integration
- tests/: Comprehensive test coverage
- docs/: Updated configuration guide

* fix: Improve clarification conversation continuity

- Add comprehensive conversation history to clarification context
- Include previous exchanges summary in system messages
- Add explicit guidelines for continuing rounds in coordinator prompt
- Prevent LLM from starting new topics during clarification
- Ensure topic continuity across clarification rounds

Fixes issue where LLM would restart clarification instead of building upon previous exchanges.

* fix: Add conversation history to clarification context

* fix: resolve clarification feature message to planer, prompt, test issues

- Optimize coordinator.md prompt template for better clarification flow
- Simplify final message sent to planner after clarification
- Fix API key assertion issues in test_search.py

* fix: Add configurable max_clarification_rounds and comprehensive tests

- Add max_clarification_rounds parameter for external configuration
- Add comprehensive test cases for clarification feature in test_app.py
- Fixes issues found during interactive mode testing where:
  - Recursive call failed due to missing initial_state parameter
  - Clarification exited prematurely at max rounds
  - Incorrect logging of max rounds reached

* Move clarification tests to test_nodes.py and add max_clarification_rounds to zh.json
2025-10-14 13:35:57 +08:00
Willem Jiang
81c91dda43 feature: clean up the temp file which are generated when running the unit test of milvus (#612)
Co-authored-by: Willem Jiang <143703838+willem-bd@users.noreply.github.com>
2025-10-12 22:10:15 +08:00
Chayton Bai
7694bb5d72 feat: support dify in rag module (#550)
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-09-16 20:30:45 +08:00
CHANGXUBO
dd9af1eb50 feat: Implement Milvus retriver for RAG (#516)
* feat: Implement MilvusRetriever with embedding model and resource management

* chore: Update configuration and loader files for consistency

* chore: Clean up test_milvus.py for improved readability and organization

* feat: Add tests for DashscopeEmbeddings query and document embedding methods

* feat: Add tests for embedding model initialization and example file loading in MilvusProvider

* chore: Remove unused imports and clean up test_milvus.py for better readability

* chore: Clean up test_milvus.py for improved readability and organization

* chore: Clean up test_milvus.py for improved readability and organization

* fix: replace print statements with logging in recursion limit function

* Implement feature X to enhance user experience and optimize performance

* refactor: clean up unused imports and comments in AboutTab component

* Implement feature X to enhance user experience and fix bug Y in module Z

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-09-12 22:20:55 +08:00
zgjja
3b4e993531 feat: 1. replace black with ruff for fomatting and sort import (#489)
2. use tavily from`langchain-tavily` rather than the older one from `langchain-community`

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-08-17 22:57:23 +08:00
Zhonghao Liu
f92bf0ca22 Feat: Cross-Language Search for RAGFlow (#469)
* cross-language search

* test passed
2025-07-24 16:39:02 +08:00
殷逸维
660395485c remove volengine package (#464) 2025-07-23 06:06:57 +08:00
Willem Jiang
3c46201ff0 fix: fix the lint check errors of the main branch (#403) 2025-07-12 14:43:25 +08:00
殷逸维
be893eae2b feat: integrate VikingDB Knowledge Base into rag retrieving tool (#381)
Co-authored-by: Henry Li <henry1943@163.com>
2025-07-03 10:06:42 +08:00
Willem Jiang
ee1af78767 test: added unit tests for rag (#298)
* test: added unit tests for rag

* reformate the code
2025-06-11 19:46:08 +08:00