Vectorsearch

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Konstantin Vasserman

Jun 18

Hybrid Search Won't Help You If Your Keyword Search is Broken

#hybridsearch #rag #vectorsearch #keywordsearch

5 min read

Pavel Kostromin

Jun 5

ParadeDB NPM Package Seeks Feedback on Simplifying Postgres Integration with JavaScript via Drizzle ORM

#postgres #javascript #drizzleorm #vectorsearch

11 min read

Manoir Yantai

May 8

Building an AI Agent with Persistent Memory: A Technical Deep Dive

#ai #agents #memory #vectorsearch

1 min read

Ken W Alger

May 27

Vector Search at Scale: Why Your Index Isn't as Healthy as You Think

#ai #vectorsearch #rag #architecture

10 min read

kartikay dubey

May 3

How I Made My Vector Search Engine 16x Faster Without Changing the Algorithm

#vectorsearch #cpp #performance #vamana

2 min read

Ross Peili for ARPA Hellenic Logical Systems

May 9

A VIC x AiSAQ Implementation Brings AI to Your Files Without Breaking the Bank

#computationalstorage #vectorsearch #edgeai #lowmemoryretrieval

3 min read

Rohith Davuluri

Apr 25

TF-IDF + LLM Reranking: How I Improved Vector Search Accuracy from 60% to 86%

#ai #machinelearning #python #vectorsearch

3 min read

Yaoxing Zhang

Mar 31

Generate Realistic Dummy Data for MongoDB

#mongodb #vectorsearch #datamodeling

3 min read

Xaden

Mar 27

Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings

#ai #embeddings #vectorsearch #machinelearning

4 min read

Jubin Soni

Apr 25

5 Ways Azure AI Search is Revolutionizing Enterprise RAG Architectures

#azure #rag #vectorsearch #generativeai

7 min read

Alexander Budanov

Apr 21

How I Chose an Embedding Model for Bug Report Deduplication

#embeddings #vectorsearch #devtools #selfhosted

34 min read

Wojtek Pluta for Oracle Developers

Apr 16

Vector Embeddings: How They Work, Where to Store Them, and Best Practices

#oracle #database #ai #vectorsearch

10 min read

The Pragamatic Architect

Mar 28

From Naive to Agentic: The Complete RAG Evolution in 21 Patterns

#rag #vectorsearch #langchain #enterpriseai

8 min read

Alex Spinov

Mar 28

Supabase Vector Has a Free API — Build AI Search in Minutes

#supabase #ai #database #vectorsearch

3 min read

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DEV Community

# vectorsearch

Hybrid Search Won't Help You If Your Keyword Search is Broken

ParadeDB NPM Package Seeks Feedback on Simplifying Postgres Integration with JavaScript via Drizzle ORM

Building an AI Agent with Persistent Memory: A Technical Deep Dive

Vector Search at Scale: Why Your Index Isn't as Healthy as You Think

How I Made My Vector Search Engine 16x Faster Without Changing the Algorithm

A VIC x AiSAQ Implementation Brings AI to Your Files Without Breaking the Bank

TF-IDF + LLM Reranking: How I Improved Vector Search Accuracy from 60% to 86%

Generate Realistic Dummy Data for MongoDB

Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings

5 Ways Azure AI Search is Revolutionizing Enterprise RAG Architectures

How I Chose an Embedding Model for Bug Report Deduplication

Vector Embeddings: How They Work, Where to Store Them, and Best Practices

From Naive to Agentic: The Complete RAG Evolution in 21 Patterns

Supabase Vector Has a Free API — Build AI Search in Minutes