From 59845fef01f3e9fafe10d160d06c946c1e7764b5 Mon Sep 17 00:00:00 2001 From: Omar Santos Date: Sun, 18 Aug 2024 15:49:45 -0400 Subject: [PATCH] Update vector_databases.md --- ai_research/ML_Fundamentals/vector_databases.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ai_research/ML_Fundamentals/vector_databases.md b/ai_research/ML_Fundamentals/vector_databases.md index 1e35729..a961c2d 100644 --- a/ai_research/ML_Fundamentals/vector_databases.md +++ b/ai_research/ML_Fundamentals/vector_databases.md @@ -1,6 +1,6 @@ # Introduction to Vector Databases -Vector databases are specialized systems designed to store, retrieve, and search high-dimensional vector embeddings efficiently. These databases are crucial for applications that require similarity searches, such as recommendation engines, image recognition, and natural language processing. Unlike traditional databases, vector databases handle complex relationships within data by focusing on vector proximity or similarity rather than exact matches[1][5]. +Vector databases are specialized systems designed to store, retrieve, and search high-dimensional vector embeddings efficiently. These databases are great for applications that require similarity searches, such as recommendation engines, image recognition, and natural language processing. Unlike traditional databases, vector databases handle complex relationships within data by focusing on vector proximity or similarity rather than exact matches. ### Examples of Vector Databases