Evaluations integration

README.md

@@ -1,6 +1,6 @@
 ![Banner](https://raw.githubusercontent.com/pavanjava/bootstrap-rag/refs/heads/main/assets/bootstrap-rag.png)
 # bootstrap-rag
-this project will bootstrap and scaffold the projects for specific semantic search and RAG applications along with regular boiler plate code.
+This project will bootstrap and scaffold the projects for specific semantic search and RAG applications along with regular boilerplate code.
 
 ### Architecture
 ![Arch](assets/architecture.png)

bootstraprag/templates/evaluations/phoenix_evals/readme.md

@@ -1,2 +1,23 @@
 ## Phoenix Evaluations
-- Under development
+
+This repository provides a script for evaluating model-generated responses using Phoenix's `HallucinationEvaluator` and `QAEvaluator`.
+To start evaluating run `bootstraprag create phoenix_evals`
+select the specific template shown on cli
+
+```text
+? Which technology would you like to use? standalone-evaluations
+? Which template would you like to use? 
+  deep-evals
+  mlflow-evals
+❯ phoenix-evals
+  ragas-evals
+```
+
+just replace the `input_data.csv` with your own data, the file has following columns
+`id,reference,query,response`.
+
+### How to execute?
+- run `python basic_evaluations.py`
+
+### What to expect?
+- At the end of process, you can see the `evaluation_report.csv` is created and kept in the parent folder where you can see different aspects of evaluations carried on your input data.