diff --git a/docs/source/en/examples/rag.md b/docs/source/en/examples/rag.md
index 019b34c..d8d9cf3 100644
--- a/docs/source/en/examples/rag.md
+++ b/docs/source/en/examples/rag.md
@@ -35,7 +35,7 @@ Let's build this system. 🛠️
 
 Run the line below to install required dependencies:
 ```bash
-!pip install smolagents pandas langchain langchain-community sentence-transformers datasets rank_bm25 --upgrade -q
+!pip install smolagents pandas langchain langchain-community sentence-transformers datasets python-dotenv rank_bm25 --upgrade -q
 ```
 To call the HF Inference API, you will need a valid token as your environment variable `HF_TOKEN`.
 We use python-dotenv to load it.
diff --git a/docs/source/en/examples/text_to_sql.md b/docs/source/en/examples/text_to_sql.md
index 86c5091..16cf821 100644
--- a/docs/source/en/examples/text_to_sql.md
+++ b/docs/source/en/examples/text_to_sql.md
@@ -27,7 +27,18 @@ A standard text-to-sql pipeline is brittle, since the generated SQL query can be
 
 Let’s build this agent! 💪
 
-First, we setup the SQL environment:
+Run the line below to install required dependencies:
+```bash
+!pip install smolagents python-dotenv sqlalchemy --upgrade -q
+```
+To call the HF Inference API, you will need a valid token as your environment variable `HF_TOKEN`.
+We use python-dotenv to load it.
+```py
+from dotenv import load_dotenv
+load_dotenv()
+```
+
+Then, we setup the SQL environment:
 ```py
 from sqlalchemy import (
     create_engine,