Vector Database

SQLServerCentral Article

Vector DB implementation using FAISS

  • Article

Searching for relevant information in vast repositories of unstructured text can be a challenge. This article explains a Python-based approach to implementing an efficient document search system using FAISS (Facebook AI Similarity Search) for Vector DB and sentence embeddings, which can be useful in applications like chatbots, document retrieval, and natural language understanding. In this […]

You rated this post out of 5. Change rating

2025-01-17

3,169 reads

Blogs

Advice I Like: Ranch Rules

By

Leave a gate behind you the way you first found it. – from Excellent...

Fix Slow, Bloated MSDB: Purge Old History And Add Missing Indexes

By

Fix Slow, Bloated MSDB: Purge Old History And Add Missing Indexes ...

Three Ways to Use Snowflake Data in Microsoft Fabric

By

Organizations increasingly want Snowflake and Microsoft Fabric to coexist without duplicating data or fragmenting...

Read the latest Blogs

Forums

25 Years of SQL Server Central

By Steve Jones - SSC Editor

Comments posted to this topic are about the item 25 Years of SQL Server...

The Decoded Value

By Steve Jones - SSC Editor

Comments posted to this topic are about the item The Decoded Value

Deploying SQL Server Developer Edition in Kubernetes: A Cost-Effective Alternative to RDS

By Sujai Krishna

Comments posted to this topic are about the item Deploying SQL Server Developer Edition...

Visit the forum

Question of the Day

The Decoded Value

In SQL Server 2025, what is returned from this code:

DECLARE @message VARCHAR(50) = 'Hello SQL Server 2025!';
DECLARE @encoded VARCHAR(MAX);

SET @encoded = BASE64_ENCODE(CAST(@message AS VARBINARY(1000)));
SELECT BASE64_DECODE(@encoded) 

See possible answers