From 6541794cfef0f7059a61dffca6643e8fd3252075 Mon Sep 17 00:00:00 2001
From: Piaoyang Cui <bcstyle@gmail.com>
Date: Sat, 8 Jul 2023 22:15:03 -0700
Subject: [PATCH] Rename leftover original name to LlamaIndex (#6792)
* Rename left over original name to LlamaIndex
* revert unnecessary change to ipynb
* Address comment
---
CONTRIBUTING.md | 2 +-
docs/examples/vector_stores/RedisIndexDemo.ipynb | 2 +-
llama_index/vector_stores/redis.py | 2 +-
3 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1ddcab4e09..a77a07c3c7 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 ed5999223c..0ba5e79b0f 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 cbf1787e96..206f36613a 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/",
--
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