From ac7dcbf91f0771b011f647b8605c0cdf7a51a91c Mon Sep 17 00:00:00 2001 From: Colin Jarvis Date: Mon, 16 Jan 2023 07:45:17 -0800 Subject: [PATCH] Updated title --- .../Using_vector_databases_for_embeddings_search.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb b/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb index 54c3c2b0..fe88385b 100644 --- a/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb +++ b/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb @@ -5,7 +5,7 @@ "id": "cb1537e6", "metadata": {}, "source": [ - "# Vector Database Introduction\n", + "# Using Vector Databases for Embeddings Search\n", "\n", "This notebook takes you through a simple flow to download some data, embed it, and then index and search it using a selection of vector databases. This is a common requirement for customers who want to store and search our embeddings with their own data in a secure environment to support production use cases such as chatbots, topic modelling and more.\n", "\n",