### What problem does this PR solve?
Add industry-related search keyword generation function
- When generating search keywords, support for specific industries has
been added
- If the "industry" parameter is provided, industry-specific
restrictions will be added to the prompt
- This change can help users generate more precise search keywords
within specific industries
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Fix incomplete curl command in section 5 'Tool calling', add missing
closing braces and parentheses to complete the JSON payload
This resolves the incomplete bash script that was missing proper JSON
structure closure.
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Add documentation for MCP streamable-http transport.
### Type of change
- [x] Documentation Update
---------
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
### What problem does this PR solve?
Add model provider DeepInfra. This model list comes from our community.
NOTE: most endpoints haven't been tested, but they should work as OpenAI
does.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
OpenAI-compatible-API supports references.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add xAI provider (experimental feature, requires user feedback).
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Changed the default value of `chunk_token_num` from 128 to 512 in both
HTTP and Python API reference documentation to reflect the updated
configuration.
#8753
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### 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?
Add curl example for interacting with the RAGFlow MCP server. Special
thanks to @writinwaters for his expert refinement.
### Type of change
- [x] Documentation Update
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
### What problem does this PR solve?
- Update Docker image version badges and references from v0.19.0 to
v0.19.1
- Modify version mentions in all localized README files (id, ja, ko,
pt_br, tzh, zh)
- Update version in docker/README.md and related documentation files
- Includes updates to Helm values and Python SDK dependencies
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Add documentation of authorization header for MCP server based on OAuth
2.1
### Type of change
- [x] Documentation Update
---------
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
### Description
This PR introduces two new environment variables, `DOC_BULK_SIZE` and
`EMBEDDING_BATCH_SIZE`, to allow flexible tuning of batch sizes for
document parsing and embedding vectorization in RAGFlow. By making these
parameters configurable, users can optimize performance and resource
usage according to their hardware capabilities and workload
requirements.
### What problem does this PR solve?
Previously, the batch sizes for document parsing and embedding were
hardcoded, limiting the ability to adjust throughput and memory
consumption. This PR enables users to set these values via environment
variables (in `.env`, Helm chart, or directly in the deployment
environment), improving flexibility and scalability for both small and
large deployments.
- `DOC_BULK_SIZE`: Controls how many document chunks are processed in a
single batch during document parsing (default: 4).
- `EMBEDDING_BATCH_SIZE`: Controls how many text chunks are processed
in a single batch during embedding vectorization (default: 16).
This change updates the codebase, documentation, and configuration files
to reflect the new options.
### 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
- [x] Performance Improvement
- [ ] Other (please describe):
### Additional context
- Updated `.env`, `helm/values.yaml`, and documentation to describe
the new variables.
- Modified relevant code paths to use the environment variables instead
of hardcoded values.
- Users can now tune these parameters to achieve better throughput or
reduce memory usage as needed.
Before:
Default value:
<img width="643" alt="image"
src="https://github.com/user-attachments/assets/086e1173-18f3-419d-a0f5-68394f63866a"
/>
After:
10x:
<img width="777" alt="image"
src="https://github.com/user-attachments/assets/5722bbc0-0bcb-4536-b928-077031e550f1"
/>
### What problem does this PR solve?
- Remove pagerank from CreateDatasetReq and add to UpdateDatasetReq
- Add pagerank update logic in dataset update endpoint
- Update API documentation to reflect changes
- Modify related test cases and SDK references
#8208
This change makes pagerank a mutable property that can only be set after
dataset creation, and only when using elasticsearch as the doc engine.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] Documentation Update
The Unicode codepoint '，' (U+FF0C) is meant to be used in Chinese text,
but this is English text. It looks like a comma followed by a space, but
isn't. Of course I didn't change actual Chinese text.
### What problem does this PR solve?
Mixup of Unicode characters. This is probably unnoticed by most users,
but I wonder if screen readers would read it out differently or if LLMs
would trip up on it.
### Type of change
- [x] 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):
conversation change to sessions
### What problem does this PR solve?
related_question interface has wrong uri in HTTP API doc
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Improve oauth configuration documentation and examples.
- Related pull requests:
- #7379
- #7553
- #7587
- Related issues:
- #3495
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
This PR introduces Pydantic-based validation for the delete dataset HTTP
API, improving code clarity and robustness. Key changes include:
1. Pydantic Validation
2. Error Handling
3. Test Updates
4. Documentation Updates
### Type of change
- [x] Documentation Update
- [x] Refactoring
