0.4.0
devicons/devicon0.4.0Jan 3, 2025by Mini256
AI Summary
This release introduces a beta evaluation tool for assessing Chat Engine performance and reliability, along with support for new LLM and embedding model providers. It also includes configuration improvements for file uploads and adds the ability to download reference files.
Key Highlights
- Support for beta Evaluation tool (Factual Correctness, Semantic Similarity)
- New LLM providers: Gitee AI, vLLM, and Xinference
- New embedding model providers: Gitee AI and Amazon Bedrock
- Configurable file upload size limit via 'max_upload_file_size'
New Features
- Evaluation (beta) tool support
- Gitee AI LLM provider
- vLLM LLM provider
- Xinference LLM provider
- Gitee AI embedding provider
- Amazon Bedrock embedding provider
- Configurable 'max_upload_file_size' setting
- Download reference file feature
Full Release Notes
## Highlights
- Support [Evaluation (beta)](https://tidb.ai/docs/evaluation) tool to evaluate the performance and reliability of the Chat Engine’s outputs (by @Icemap @634750802 ).
- Current support key metrics:
- Factual Correctness
- Semantic Similarity
- Support new LLM providers
- [Gitee AI](https://tidb.ai/docs/llm#gitee-ai) (by @lc-soft)
- Test new OpenAI-like providers (by @jrj5423)
- [vLLM](https://tidb.ai/docs/llm#vllm)
- [Xinference](https://tidb.ai/docs/llm#xinference)
- Support new embedding model providers
- [Gitee AI](https://tidb.ai/docs/embedding-model#gitee-ai) (by @lc-soft)
- [Amazon Bedrock](https://tidb.ai/docs/embedding-model#amazon-bedrock) (by @jrj5423 @Mini256)
## Improvements
- Limit the upload file size via `max_upload_file_size` (10MB by default) parameter on site setting (by @sszgwdk @634750802 )
- Support download the reference file in the chat page (by @Rutheniumlmw @634750802 )
## New Contributors
* @sszgwdk made their first contribution in https://github.com/pingcap/autoflow/pull/497
* @jrj5423 made their first contribution in https://github.com/pingcap/autoflow/pull/522
* @Rutheniumlmw made their first contribution in https://github.com/pingcap/autoflow/pull/538
* @lc-soft made their first contribution in https://github.com/pingcap/autoflow/pull/470
* @nicognaW made their first contribution in https://github.com/pingcap/autoflow/pull/496
If you are deploying Autoflow using docker, please follow the [Upgrade](https://tidb.ai/docs/deploy-with-docker#upgrade) guide to upgrade your Autoflow.
**Full Changelog**: https://github.com/pingcap/autoflow/compare/v0.3.0...0.4.0