### 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?
Closes#13857
Parent-child chunking was introduced in v0.23.0 but is only configurable
through the web UI. Users managing datasets programmatically cannot
enable it via the HTTP API or Python SDK because `ParserConfig` uses
`extra="forbid"`, rejecting the `children_delimiter` field at
validation.
### What does this PR change?
Adds a `parent_child` nested config to `ParserConfig`, following the
same pattern as `raptor` and `graphrag`:
```json
"parser_config": {
"parent_child": {
"use_parent_child": true,
"children_delimiter": "\n"
}
}
```
- api/utils/validation_utils.py — new ParentChildConfig model, added to
ParserConfig
- api/utils/api_utils.py — naive defaults + flatten to
children_delimiter for the execution layer
- api/apps/services/dataset_api_service.py — flatten on the update path
- test/testcases/configs.py — updated DEFAULT_PARSER_CONFIG
-
test/testcases/test_http_api/test_dataset_management/test_create_dataset.py
— 4 valid + 2 invalid test cases
No changes to the execution layer (rag/app/naive.py, rag/nlp/search.py).
Existing UI flow via ext is unaffected.
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Added parent-child chunking configuration for dataset creation and
updates with new `use_parent_child` toggle and customizable
`children_delimiter` setting to specify how parent chunks are split into
child chunks.
* **Documentation**
* Updated HTTP and Python API references with parent-child chunking
configuration details and examples.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
### What problem does this PR solve?
This fixes two broken internal documentation links in the guides:
- `docs/develop/mcp/launch_mcp_server.md` linked
`./acquire_ragflow_api_key.md`, but the target page lives one level up
as `../acquire_ragflow_api_key.md`.
- `docs/guides/dataset/run_retrieval_test.md` linked
`./construct_knowledge_graph.md`, but the actual page lives under
`./advanced/construct_knowledge_graph.md`.
These broken links make it harder to follow the MCP and retrieval-test
docs from the local docs tree.
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What problem does this PR solve?
Enable reading Tag Set tags via API (expose tag_kwd field). The result
of the queried list chunks is as shown below:
<img width="1422" height="818" alt="image"
src="https://github.com/user-attachments/assets/abd1960a-fe34-489e-9d72-525f8e574938"
/>
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: heyang.why <heyang.why@alibaba-inc.com>
### What problem does this PR solve?
Searches /search API to RESTFul
### Type of change
- [x] Documentation Update
- [x] Refactoring
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
### What problem does this PR solve?
Files /file API to RESTFul style.
### Type of change
- [x] Documentation Update
- [x] Refactoring
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
Co-authored-by: Liu An <asiro@qq.com>
### What problem does this PR solve?
Adds Perplexity contextualized embeddings API as a new model provider,
as requested in #13610.
- `PerplexityEmbed` provider in `rag/llm/embedding_model.py` supporting
both standard (`/v1/embeddings`) and contextualized
(`/v1/contextualizedembeddings`) endpoints
- All 4 Perplexity embedding models registered in
`conf/llm_factories.json`: `pplx-embed-v1-0.6b`, `pplx-embed-v1-4b`,
`pplx-embed-context-v1-0.6b`, `pplx-embed-context-v1-4b`
- Frontend entries (enum, icon mapping, API key URL) in
`web/src/constants/llm.ts`
- Updated `docs/guides/models/supported_models.mdx`
- 22 unit tests in `test/unit_test/rag/llm/test_perplexity_embed.py`
Perplexity's API returns `base64_int8` encoded embeddings (not
OpenAI-compatible), so this uses a custom `requests`-based
implementation. Contextualized vs standard model is auto-detected from
the model name.
Closes#13610
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
### What problem does this PR solve?
Follow-up expose agent structured outputs in non-stream completions
#13389.
### Type of change
- [x] Documentation Update
- [x] Refactoring
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
### What problem does this PR solve?
Add_chunk supports add image.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
## Summary
- Add documentation for the `-p project_name` flag in the migration
script, covering all steps (stop, backup, restore, start)
- Add a note explaining how Docker volume name prefixes relate to the
Compose project name
- Update `docker-compose` to `docker compose` (Compose V2 syntax) for
consistency
- Fix `sh` to `bash` to match the script's shebang line
This is the documentation follow-up to #12187 which added `-p` project
name support to `docker/migration.sh`.
## Test plan
- [ ] Verify the documentation renders correctly on the docs site
- [ ] Confirm all example commands are accurate against the current
`migration.sh`
### What problem does this PR solve?
This PR adds support for parsing PDFs through an external Docling
server, so RAGFlow can connect to remote `docling serve` deployments
instead of relying only on local in-process Docling.
It addresses the feature request in
[#13426](https://github.com/infiniflow/ragflow/issues/13426) and aligns
with the external-server usage pattern already used by MinerU.
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What is changed?
- Add external Docling server support in `DoclingParser`:
- Use `DOCLING_SERVER_URL` to enable remote parsing mode.
- Try `POST /v1/convert/source` first, and fallback to
`/v1alpha/convert/source`.
- Keep existing local Docling behavior when `DOCLING_SERVER_URL` is not
set.
- Wire Docling env settings into parser invocation paths:
- `rag/app/naive.py`
- `rag/flow/parser/parser.py`
- Add Docling env hints in constants and update docs:
- `docs/guides/dataset/select_pdf_parser.md`
- `docs/guides/agent/agent_component_reference/parser.md`
- `docs/faq.mdx`
### Why this approach?
This keeps the change focused on one issue and one capability (external
Docling connectivity), without introducing unrelated provider-model
plumbing.
### Validation
- Static checks:
- `python -m py_compile` on changed Python files
- `python -m ruff check` on changed Python files
- Functional checks:
- Remote v1 endpoint path works
- v1alpha fallback works
- Local Docling path remains available when server URL is unset
### Related links
- Feature request: [Support external Docling server (issue
#13426)](https://github.com/infiniflow/ragflow/issues/13426)
- Compare view for this branch:
[main...feat/docling-server](https://github.com/infiniflow/ragflow/compare/main...spider-yamet:ragflow:feat/docling-server?expand=1)
##### Fixes [#13426](https://github.com/infiniflow/ragflow/issues/13426)
### What problem does this PR solve?
Add delete all support for delete operations.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
### What problem does this PR solve?
Standardize term capitalization in `deploy_local_llm.mdx` and improve
code block formatting.
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Support getting aggregated parsing status to dataset via the API
Issue: #12810
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: heyang.why <heyang.why@alibaba-inc.com>
### What problem does this commit solve?
This commit introduces a new API endpoint
`/datasets/<dataset_id>/documents/<document_id>/chunks/switch` that
allows users to switch the availability status of specified chunks in a
document as same as chunk_app.py
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Empty ids means no-op operation.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
- [x] Refactoring
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
## Summary
- Revert aliyun registry from
`infiniflow-registry.cn-shanghai.cr.aliyuncs.com` back to
`registry.cn-hangzhou.aliyuncs.com`
## Test plan
- [ ] Verify the docker/.env file contains the correct registry URL
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
### What problem does this PR solve?
Feat: published agent version control
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
This PR aims to:
1. Enable file uploads for the public API, similarly to what
/document/upload_info accomplishes for the frontend;
2. Enable files sent to the /chat/:chat_id/completions endpoint to be
used within the conversation.
We classify the first item as a new future, while classifying the second
one as a bug fix.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
*The work related to this PR was co-authored by*
[Bruno Ferreira](https://github.com/brunopferreira): Custom Solutions
Manager @ [Orbcom](https://orbcom.pt/)
[Pedro Ferreira](https://github.com/sirj0k3r): Lead Software Developer @
[Orbcom](https://orbcom.pt/)
[Pedro Cardoso](https://github.com/pedromiguel4560): Associate Software
Developer @ [Orbcom](https://orbcom.pt/)
*This PR replaces #13248*
---------
Co-authored-by: Pedro Cardoso <pedrocardoso@orbcom.pt>
Co-authored-by: Pedro Ferreira <pedroferreira@orbcom.pt>
### What problem does this PR solve?
This PR adds [Avian](https://avian.io) as a new LLM provider to RAGFlow.
Avian provides an OpenAI-compatible API with competitive pricing,
offering access to models like DeepSeek V3.2, Kimi K2.5, GLM-5, and
MiniMax M2.5.
**Provider details:**
- API Base URL: `https://api.avian.io/v1`
- Auth: Bearer token via API key
- OpenAI-compatible (chat completions, streaming, function calling)
- Models:
- `deepseek/deepseek-v3.2` — 164K context, $0.26/$0.38 per 1M tokens
- `moonshotai/kimi-k2.5` — 131K context, $0.45/$2.20 per 1M tokens
- `z-ai/glm-5` — 131K context, $0.30/$2.55 per 1M tokens
- `minimax/minimax-m2.5` — 1M context, $0.30/$1.10 per 1M tokens
**Changes:**
- `rag/llm/chat_model.py` — Add `AvianChat` class extending `Base`
- `rag/llm/__init__.py` — Register in `SupportedLiteLLMProvider`,
`FACTORY_DEFAULT_BASE_URL`, `LITELLM_PROVIDER_PREFIX`
- `conf/llm_factories.json` — Add Avian factory with model definitions
- `web/src/constants/llm.ts` — Add to `LLMFactory` enum, `IconMap`,
`APIMapUrl`
- `web/src/components/svg-icon.tsx` — Register SVG icon
- `web/src/assets/svg/llm/avian.svg` — Provider icon
- `docs/references/supported_models.mdx` — Add to supported models table
This follows the same pattern as other OpenAI-compatible providers
(e.g., n1n #12680, TokenPony).
cc @KevinHuSh @JinHai-CN
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
…ff publishing this guide.
### What problem does this PR solve?
Removed failsure mode checklist per your request. @JinHai-CN
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
This PR adds a new guide: **"RAG failure modes checklist"**.
RAG systems often fail in ways that are not immediately visible from a
single metric like accuracy or latency. In practice, debugging
production RAG applications requires identifying recurring failure
patterns across retrieval, routing, evaluation, and deployment stages.
This guide introduces a structured, pattern-based checklist (P01–P12) to
help users interpret traces, evaluation results, and dataset behavior
within RAGFlow. The goal is to provide a practical way to classify
incidents (e.g., retrieval hallucination, chunking issues, index
staleness, routing misalignment) and reason about minimal structural
fixes rather than ad-hoc prompt changes.
The change is documentation-only and does not modify any code or
configuration.
Refs #13138
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What problem does this PR solve?
- Update version tags in README files (including translations) from
v0.23.1 to v0.24.0
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
This PR adds an opt‑in way to include document‑level metadata in
OpenAI‑compatible reference chunks. Until now, metadata could be used
for filtering but wasn’t returned in responses. The change enables
clients to show richer citations (author/year/source, etc.) while
keeping payload size and privacy under control via an explicit request
flag and optional field allowlist.
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
Contribution during my time at RAGcon GmbH.
### What problem does this PR solve?
Fix: PDF chunking issue for single-page documents
Refactor: Change the default refresh frequency to 5
Fix: Add a 0-degree threshold; require other rotation angles to exceed
it by at least 0.2
Fix: Put connector name tips to correct place
Fix: incorrect example response in delete datasets.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
