0.4.0
huggingface/skills0.4.0Jan 3, 2025by Mini256
AI Summary
Adds support for an Evaluation tool (beta) to assess Chat Engine performance, introduces new LLM providers (Gitee AI, vLLM, Xinference) and embedding providers (Gitee AI, Amazon Bedrock), and adds configuration options for upload file sizes.
Key Highlights
- Support for Evaluation (beta) tool to measure Factual Correctness and Semantic Similarity
- New LLM providers: Gitee AI, vLLM, and Xinference (OpenAI-like)
- New embedding model providers: Gitee AI and Amazon Bedrock
- Limit upload file size via `max_upload_file_size` site setting
New Features
- Evaluation tool support for Chat Engine metrics
- Gitee AI LLM provider
- vLLM and Xinference OpenAI-like LLM providers
- Gitee AI embedding provider
- Amazon Bedrock embedding provider
- Configurable upload file size limit
- 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