### What problem does this PR solve?
Currently, RAGFlow's Search and Chat interfaces display only raw
vectorized text chunks during retrieval, without contextual information
about their source documents. Users cannot see document titles, page
numbers, upload dates, or custom metadata fields that would help them
understand and trust the retrieved results.
This PR introduces an **optional metadata display feature** that
enriches retrieved chunks with document-level metadata in both the
Search tab and Chatbot interface.
**Key improvements:**
- **Search results**: Display document metadata as styled badges beneath
chunk snippets
- **Chat citations**: Show metadata in citation popovers and reference
lists for better source context
- **LLM context**: Metadata is injected into the LLM prompt to enable
more accurate, citation-aware responses
- **External API support**: Applications using RAGFlow's SDK retrieval
endpoints (`/v1/retrieval`, `/v1/searchbots/retrieval_test`) can opt-in
via request parameters
- **User control**: Multi-select dropdown UI allows users to choose
which metadata fields to display
**Implementation approach:**
- ✅ Reuses existing `DocMetadataService` infrastructure (no new database
tables or indices)
- ✅ Settings stored in existing JSON configuration fields
(`search_config.reference_metadata`, `prompt_config.reference_metadata`)
- ✅ No database migrations required
- ✅ Disabled by default (fully opt-in and backward-compatible)
- ✅ Dynamic metadata field selection populated from actual document
metadata keys
- ✅ Fixed critical bug where Python's builtin `set()` was shadowed by a
route handler function
**Modified endpoints (all backward-compatible):**
- `POST /v1/retrieval` (Public SDK)
- `POST /v1/searchbots/retrieval_test` (Searchbots)
- `POST /v1/chunk/retrieval_test` (UI/Internal)
- Chat completions endpoints (via `extra_body.reference_metadata` or
`prompt_config`)
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
###Images
-
<img width="879" height="1275" alt="image"
src="https://github.com/user-attachments/assets/95b2d731-31ae-45a1-b081-bf5893f52aeb"
/>
<br><br>
<br><br>
<img width="1532" height="362" alt="image"
src="https://github.com/user-attachments/assets/9cebc65b-b7a7-459f-b25e-3b13fa9b638e"
/>
<br><br>
<br><br>
<img width="2586" height="1320" alt="image"
src="https://github.com/user-attachments/assets/2153d493-d899-461f-a7a9-041391e07776"
/>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Attili-sys <Attili-sys@users.noreply.github.com>
Co-authored-by: Ahmad Intisar <ahmadintisar@Ahmads-MacBook-M4-Pro.local>
### What problem does this PR solve?
## Summary
Fixed a bug where the **File Logs** tab in the dataset ingestion page
always showed "No logs" even after files were parsed successfully.
## Root Cause
Both the **File Logs** and **Dataset Logs** tabs on the frontend called
the same backend endpoint `/datasets/{dataset_id}/ingestions`. However,
the backend only queried `get_dataset_logs_by_kb_id`, which
hard-filtered records by `document_id == GRAPH_RAPTOR_FAKE_DOC_ID`
(dataset-level logs). As a result, real file-level logs were never
returned, causing the table to appear empty.
## Changes
### Backend
- **`api/apps/restful_apis/dataset_api.py`**
- Added two new query parameters to `list_ingestion_logs`:
- `log_type` — `"file"` or `"dataset"` (default: `"dataset"`)
- `keywords` — search keyword for filtering by document / task name
- **`api/apps/services/dataset_api_service.py`**
- Updated `list_ingestion_logs` signature to accept `log_type` and
`keywords`.
- Added conditional routing:
- When `log_type == "file"`, call
`PipelineOperationLogService.get_file_logs_by_kb_id`
- Otherwise, call
`PipelineOperationLogService.get_dataset_logs_by_kb_id`
- **`api/db/services/pipeline_operation_log_service.py`**
- Extended `get_dataset_logs_by_kb_id` with an optional `keywords`
parameter so dataset logs can also be searched.
### Frontend
- **`web/src/pages/dataset/dataset-overview/hook.ts`**
- Removed the separate API function switching (`listPipelineDatasetLogs`
vs `listDataPipelineLogDocument`).
- Unified both tabs to call `listDataPipelineLogDocument` with the new
`log_type` query parameter (`"file"` or `"dataset"`).
- Ensured `keywords` and filter values are passed through correctly.
## Behavior After Fix
| Tab | `log_type` | Returned Records | Searchable Field |
|---|---|---|---|
| File Logs | `file` | Real document-level logs | `document_name` (file
name) |
| Dataset Logs | `dataset` | GraphRAG / RAPTOR / MindMap logs |
`document_name` (task type) |
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Signed-off-by: noob <yixiao121314@outlook.com>
Co-authored-by: Wang Qi <wangq8@outlook.com>
Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
### What problem does this PR solve?
## Summary
Migrate two web API endpoints to REST-style HTTP API endpoints,
following the pattern established in #14222:
| Old Endpoint | New Endpoint |
|---|---|
| `POST /v1/chunk/retrieval_test` | `POST
/api/v1/datasets/<dataset_id>/search` |
| `GET /v1/chunk/knowledge_graph` | `GET
/api/v1/datasets/<dataset_id>/graph` |
### What problem does this PR solve?
Fix: google authentication - gmail && google-drive
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Always return success if no such task id to follow existing code logic.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Before migration
Web API: POST /v1/document/change_parser
HTTP API: PATCH /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API
PATCH /api/v1/datasets/<dataset_id>/documents
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration: GET /v1/document/thumbnails
After migration: GET /api/v1/thumbnails
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration: POST /v1/document/run
After migration: POST /api/v1/documents/ingest/
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration
Web API: POST /v1/document/change_status
After consolidation, Restful API
POST /api/v1/datasets/<dataset_id>/documents/batch-update-status
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration: POST /v1/document/upload_info/
After migration: POST /api/v1/documentss/upload/
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration: GET /v1/document/artifact/<filename>
After migration: GET /api/v1/documents/artifact/<filename>
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration
Web API: POST /v1/document/metadata/update
After migration, Restful API
PATCH /api/v2/datasets/<dataset_id>/documents/metadatas
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before migration
Web API: POST /v1/document/update_metadata_setting
After consolidation, Restful API
PUT
/api/v1/datasets/<dataset_id>/documents/<document_id>/metadata/config
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before consolidation
Web API: POST /v1/document/rm
Http API - DELETE /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API -- DELETE
/api/v1/datasets/<dataset_id>/documents
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Refactor /api/v1/chats to be more RESTful.
### Type of change
- [x] Refactoring
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Before consolidation
Web API: POST /v1/document/infos
Http API - GET /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API -- GET
/api/v1/datasets/<dataset_id>/documents?ids=id1&ids=id2
### Type of change
- [ ] Refactoring
### What problem does this PR solve?
Before consolidation
Web API: POST /v1/document/filter
Http API - GET /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API -- GET
/api/v1/datasets/<dataset_id>/documents?type=filter
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Fixes#14206.
This issue is a regression. PR #9520 previously changed Gemini models
from `image2text` to `chat` to fix chat-side resolution, but PR #13073
later restored those Gemini entries to `image2text` during model-list
updates, which reintroduced the bug.
The underlying problem is that Gemini models are multimodal and
advertise both `CHAT` and `IMAGE2TEXT`, while tenant model resolution
still depends on a single stored `model_type`. That makes chat-only
flows such as memory extraction fragile when a compatible model is
stored as `image2text`.
This PR fixes the issue at the model resolution layer instead of
changing `llm_factories.json` again:
- keep the stored tenant model type unchanged
- try exact `model_type` lookup first
- if no exact match is found, fall back only when the model metadata
shows the requested capability is supported
- coerce the runtime config to the requested type for chat callers
- fail fast in memory creation instead of silently persisting
`tenant_llm_id=0`
This preserves existing multimodal and `image2text` behavior while
restoring chat compatibility for memory-related flows.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### Testing
- Re-checked the current memory creation and memory message extraction
paths against the updated resolution logic
- Verified locally that a Gemini-style tenant model stored as
`image2text` but tagged with `CHAT` can still be resolved for `chat`
- Verified `get_model_config_by_type_and_name(..., CHAT, ...)` returns a
chat-compatible runtime config
- Verified `get_model_config_by_id(..., CHAT)` also returns a
chat-compatible runtime config
- Verified strict resolution still fails when the model metadata does
not advertise chat capability
### What problem does this PR solve?
Before consolidation
Web API: POST /v1/document/list
Http API - GET /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API -- GET
/api/v1/datasets/<dataset_id>/documents
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Correctly set and display parent-child config in parser_config, and
allow to pass `tenant_id` in PATCH `/api/v1/chats`.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Consolidation WEB API & HTTP API for document upload
Before consolidation
Web API: POST /v1/document/upload
Http API - POST /api/v1/datasets/<dataset_id>/documents
After consolidation, Restful API -- POST
/api/v1/datasets/<dataset_id>/documents
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Before change, update_document in api/apps/restful_apis/document_api.py
is using "PUT".
After change, it will use "PATCH" which is more suitable.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Consolidation WEB API & HTTP API for document metadata summary
Before consolidation
Web API: POST /api/v1/document/metadata/summary
Http API - GET /v1/datasets/<dataset_id>/metadata/summary
After consolidation, Restful API -- GET
/v1/datasets/<dataset_id>/metadata/summary
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Refactor: merge document.rename into document.update_document
### Type of change
- [x] Refactoring
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Added a unified document update API (PUT) supporting name, metadata,
parser/chunk settings, and status changes.
* **Breaking Changes**
* Legacy single-parameter rename endpoint removed; renames now require
dataset + document identifiers.
* `/list` now reads dataset id from a different query parameter.
* **Validation / Bug Fixes**
* Stricter meta_fields and parser-config validation; unauthenticated
requests return 401.
* **Frontend**
* UI now sends dataset id when saving document names.
* **Tests**
* Numerous unit and HTTP tests adjusted or removed to match new API and
validations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: MkDev11 <94194147+MkDev11@users.noreply.github.com>
Co-authored-by: mkdev11 <YOUR_GITHUB_ID+MkDev11@users.noreply.github.com>
Co-authored-by: mkdev11 <MkDev11@users.noreply.github.com>
Co-authored-by: Qi Wang <wangq8@outlook.com>
Co-authored-by: dataCenter430 <161712630+dataCenter430@users.noreply.github.com>
Co-authored-by: balibabu <cike8899@users.noreply.github.com>
### What problem does this PR solve?
- ping
- token
- log level
### Type of change
- [x] Refactoring
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Refactor**
* System endpoints consolidated under /api/v1/system: ping, health
check, and token management moved to the centralized API surface.
* Token management unified at /api/v1/system/tokens with
list/create/delete behavior.
* **Documentation**
* API reference updated to reflect the new /api/v1/system paths.
* **Tests**
* Client fixtures and test utilities updated to use
/api/v1/system/tokens; one unit test for health/oceanbase status
removed.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Implements automatic adjustment of knowledge base chunk recall weights
based on user feedback (upvotes/downvotes). When users upvote or
downvote a response, the system locates the corresponding knowledge
snippets and adjusts their recall weight to improve future retrieval
quality.
**Closes #12670**
**How it works:**
1. User upvotes/downvotes a response via `POST /thumbup`
2. System extracts chunk IDs from the conversation reference
3. For each referenced chunk:
- Reads current `pagerank_fea` value from document store
- Increments (+1) for upvote or decrements (-1) for downvote
- Clamps weight to [0, 100] range
- Updates chunk in ES/Infinity/OceanBase
4. Future retrievals score these chunks higher/lower based on
accumulated feedback
**Files changed:**
- `api/db/services/chunk_feedback_service.py` - New service for updating
chunk pagerank weights
- `api/apps/conversation_app.py` - Integrated feedback service into
thumbup endpoint
- `test/testcases/test_web_api/test_chunk_feedback/` - Unit tests
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Chat message feedback now updates per-chunk relevance weights
(feature-flag gated), with configurable weighting and atomic updates
across storage backends.
* **Bug Fixes**
* Stricter validation for message feedback inputs and more robust
handling of feedback transitions.
* **Tests**
* Expanded test coverage for chunk-feedback behavior, weighting
strategies, storage backends, and thumb-flip scenarios.
* **Chores**
* CI workflow extended to run the new chunk-feedback web API tests.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: mkdev11 <YOUR_GITHUB_ID+MkDev11@users.noreply.github.com>
Co-authored-by: mkdev11 <MkDev11@users.noreply.github.com>
### What problem does this PR solve?
Refactor version API to RESTful style. Python and go server API also
updated.
### Type of change
- [x] Refactoring
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## Release Notes
* **Refactor**
* Migrated core API endpoints to the `/api/v1/` namespace for improved
consistency and organization.
* Standardized system version, search, and chat list endpoints under the
new API versioning structure.
* **New Features**
* Added MinIO region configuration support, allowing specification of
storage engine regional settings via environment variables or
configuration files.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
