From 8b8d1fe7c74caf2e648f00a4f48f3466e03cacc5 Mon Sep 17 00:00:00 2001
From: Shahules786 <Shahules786@gmail.com>
Date: Thu, 19 Oct 2023 17:22:25 +0530
Subject: [PATCH 1/2] add langchain loaders to docs

---
 docs/concepts/testset_generation.md | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/docs/concepts/testset_generation.md b/docs/concepts/testset_generation.md
index 99ca0328a..abe95067a 100644
--- a/docs/concepts/testset_generation.md
+++ b/docs/concepts/testset_generation.md
@@ -35,6 +35,27 @@ Moving forward, we are will be expanding the range of evolution techniques to of
 
 ## Example
 
+```{code-block} python
+:caption: loading documents using langchain
+from langchain.document_loaders import PubMedLoader
+
+loader = PubMedLoader("liver", load_max_docs=10)
+documents = loader.load()
+```
+Checkout [langchain](https://python.langchain.com/docs/modules/data_connection/document_loaders/) document loaders to see more examples
+
+```{code-block} python
+:caption: loading documents using llama-index
+from llama_index import download_loader
+
+SemanticScholarReader = download_loader("SemanticScholarReader")
+loader = SemanticScholarReader()
+query_space = "large language models"
+documents = loader.load_data(query=query_space, limit=10)
+```
+Checkout [llama-index](https://gpt-index.readthedocs.io/en/stable/core_modules/data_modules/connector/root.html) document loaders to see more examples
+
+
 ```{code-block} python
 :caption: Customising test set generation 
 from ragas.testset import TestsetGenerator

From 6cd69c1d1818bd6e538eeca258cd8d0501a9c18f Mon Sep 17 00:00:00 2001
From: Shahules786 <Shahules786@gmail.com>
Date: Sun, 7 Jan 2024 11:23:27 +0530
Subject: [PATCH 2/2] change to dict

---
 src/ragas/_analytics.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/ragas/_analytics.py b/src/ragas/_analytics.py
index 5043aed6a..51496d919 100644
--- a/src/ragas/_analytics.py
+++ b/src/ragas/_analytics.py
@@ -93,7 +93,7 @@ def track(event_properties: BaseEvent):
     if do_not_track():
         return
 
-    payload = asdict(event_properties)
+    payload = event_properties.dict()
 
     if _usage_event_debugging():
         # For internal debugging purpose