diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1ddcab4e094134e300d8251f7a27b7498a3043aa..a77a07c3c754f5d0e6fda6ddcccb08e1915ea078 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -239,7 +239,7 @@ if you are in windows, use the following to activate your virtual environment:
 .venv\scripts\activate
 ```
 
-Install the required dependencies (this will also install gpt-index through `pip install -e .` 
+Install the required dependencies (this will also install LlamaIndex through `pip install -e .` 
 so that you can start developing on it):
 
 ```bash
diff --git a/docs/examples/vector_stores/RedisIndexDemo.ipynb b/docs/examples/vector_stores/RedisIndexDemo.ipynb
index ed5999223c9f9d9a0354de556e7b8d9c69289160..0ba5e79b0f307617d82ee0abe34b01598eb4973c 100644
--- a/docs/examples/vector_stores/RedisIndexDemo.ipynb
+++ b/docs/examples/vector_stores/RedisIndexDemo.ipynb
@@ -199,7 +199,7 @@
     "            >>> # Create a RedisVectorStore\n",
     "            >>> vector_store = RedisVectorStore(\n",
     "            >>>     index_name=\"my_index\",\n",
-    "            >>>     index_prefix=\"gpt_index\",\n",
+    "            >>>     index_prefix=\"llama_index\",\n",
     "            >>>     index_args={\"algorithm\": \"HNSW\", \"m\": 16, \"ef_construction\": 200,\n",
     "                \"distance_metric\": \"cosine\"},\n",
     "            >>>     redis_url=\"redis://localhost:6379/\",\n",
diff --git a/llama_index/vector_stores/redis.py b/llama_index/vector_stores/redis.py
index cbf1787e96d6df75e2d973feb657f24df97b1d47..206f36613a85afa044268506d894f17c7578b987 100644
--- a/llama_index/vector_stores/redis.py
+++ b/llama_index/vector_stores/redis.py
@@ -86,7 +86,7 @@ class RedisVectorStore(VectorStore):
             >>> # Create a RedisVectorStore
             >>> vector_store = RedisVectorStore(
             >>>     index_name="my_index",
-            >>>     index_prefix="gpt_index",
+            >>>     index_prefix="llama_index",
             >>>     index_args={"algorithm": "HNSW", "m": 16, "ef_construction": 200,
                 "distance_metric": "cosine"},
             >>>     redis_url="redis://localhost:6379/",