0.4.0

facebookresearch/omnilingual-asr0.4.0Jan 3, 2025by Mini256

AI Summary

Released evaluation tools for Chat Engine and added support for new LLM and embedding providers like Gitee AI, vLLM, and Amazon Bedrock.

Key Highlights

Evaluation (beta) tool for Chat Engine performance (Factual Correctness, Semantic Similarity)
New LLM providers: Gitee AI, vLLM, and Xinference
New embedding providers: Gitee AI and Amazon Bedrock
Limit upload file size via settings parameter

New Features

Evaluation (beta) tool
Gitee AI LLM provider
vLLM and Xinference LLM providers
Gitee AI and Amazon Bedrock embedding providers
Limit upload file size
Download reference files in chat page

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