pengjunjie/ragflow
1
0
Fork 1
mirror of https://github.com/infiniflow/ragflow.git synced 2025-12-08 20:42:30 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added v0.20.4 release notes (#9757)

Browse Source 
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
This commit is contained in:
writinwaters
2025-08-27 15:29:09 +08:00
committed by GitHub
parent c15b138839
commit 9c456adffd
2 changed files with 36 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/references/http_api_reference.md
View File

@ -731,7 +731,7 @@ Failure:
``` ```
--- ---
## Get dataset's knowledge graph ### Get knowledge graph
**GET** `/api/v1/datasets/{dataset_id}/knowledge_graph` **GET** `/api/v1/datasets/{dataset_id}/knowledge_graph`
@ -810,7 +810,7 @@ Failure:
``` ```
--- ---
## Delete dataset's knowledge graph ### Delete knowledge graph
**DELETE** `/api/v1/datasets/{dataset_id}/knowledge_graph` **DELETE** `/api/v1/datasets/{dataset_id}/knowledge_graph`

36
docs/release_notes.md
View File

@ -9,8 +9,8 @@ Key features, improvements and bug fixes in the latest releases.
:::info :::info
Each RAGFlow release is available in two editions: Each RAGFlow release is available in two editions:
- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.20.3-slim` - **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.20.4-slim`
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.20.3` - **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.20.4`
::: :::
:::danger IMPORTANT :::danger IMPORTANT
@ -22,6 +22,38 @@ The embedding models included in a full edition are:
These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages. These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages.
::: :::
## v0.20.4
Released on August 27, 2025.
### Improvements
- Agent component: Completes Chinese localization for the Agent component.
- Introduces the `ENABLE_TIMEOUT_ASSERTION` environment variable to enable or disable timeout assertions for file parsing tasks.
- Dataset:
- Improves Markdown file parsing, with AST support to avoid unintended chunking.
- Enhances HTML parsing, supporting bs4-based HTML tag traversal.
### Added models
ZHIPU GLM-4.5
### New Agent templates
Ecommerce Customer Service Workflow: A template designed to handle enquiries about product features and multi-product comparisons using the internal knowledge base, as well as to manage installation appointment bookings.
### Fixed issues
- Dataset:
- Unable to share resources with the team.
- Inappropriate restrictions on the number and size of uploaded files.
- Chat:
- Unable to preview referenced files in responses.
- Unable to send out messages after file uploads.
- An OAuth2 authentication failure.
- A logical error in multi-conditioned metadata searches within a dataset.
- Citations infinitely increased in multi-turn conversations.
## v0.20.3 ## v0.20.3
Released on August 20, 2025. Released on August 20, 2025.