update to v0.1.1

Author: HuXiangkun

README.md

@@ -153,6 +153,10 @@ RAGResults(
 
 Please refer to [data/meta_evaluation](./data/meta_evaluation/README.md) on meta-evaluation for the effectiveness of RAGChecker.
 
+## Work with LlamaIndex
+
+RAGChecker now integrates with LlamaIndex, providing a powerful evaluation tool for RAG applications built with LlamaIndex. For detailed instructions on how to use RAGChecker with LlamaIndex, please refer to the [LlamaIndex documentation on RAGChecker integration](https://docs.llamaindex.ai/en/latest/examples/evaluation/RAGChecker/). This integration allows LlamaIndex users to leverage RAGChecker's comprehensive metrics to evaluate and improve their RAG systems.
+
 ## Security
 
 See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "ragchecker"
-version = "0.1.0"
+version = "0.1.1"
 description = "RAGChecker: A Fine-grained Framework For Diagnosing Retrieval-Augmented Generation (RAG) systems."
 authors = [
     "Xiangkun Hu <xiangkhu@amazon.com>",
@@ -15,7 +15,7 @@ license = "Apache-2.0"
 
 [tool.poetry.dependencies]
 python = "^3.9"
-refchecker = "^0.2.1"
+refchecker = "^0.2.2"
 loguru = "^0.7"
 dataclasses-json = "^0.6"