0.4.0
paulpierre/markdown-crawler0.4.0Jan 3, 2025by Mini256
AI Summary
Introduces a beta Evaluation tool for assessing Chat Engine outputs, adds support for new LLM providers (Gitee AI, vLLM, Xinference) and embedding models (Gitee AI, Amazon Bedrock), and limits the default upload file size.
Key Highlights
- Evaluation tool (beta)
- New LLM providers (Gitee AI, vLLM, Xinference)
- New embedding providers (Gitee AI, Amazon Bedrock)
New Features
- Evaluation tool (Factual Correctness, Semantic Similarity)
- Gitee AI LLM
- vLLM
- Xinference
- Gitee AI Embedding
- Amazon Bedrock Embedding
- File size limit
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