Vectorsearch

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Thilak Singh Thakur

Feb 5

Improving Clause-Level Retrieval Accuracy in Legal RAG

#rag #vectorsearch #genai #legaltech

1 min read

Michael Lynn

Feb 3

What If Vector Search with Voyage AI and MongoDB Was Just... Simple?

#mongodb #ai #vectorsearch #cli

14 min read

Alain Airom

Jan 13

Jvector vs. HSNW (Part 3)

#jvector #vectorsearch #hsnw

7 min read

Alain Airom

Jan 12

JVector vs. Lucene vs. Faiss (Part 2)

#jvector #lucene #faiss #vectorsearch

5 min read

Alain Airom

Jan 14

Jvector And Python! (Part 4 of jvector series)

#jvector #python #java #vectorsearch

11 min read

Ryan Giggs

Jan 21

RAG Pipeline Deep Dive: Ingestion, Chunking, Embedding, and Vector Search

#rag #vectorsearch #vectordatabase #embeddingmodels

10 min read

CatMap

Dec 15 '25

Why Regex Fails at Google Taxonomy: Building a 98% Accurate RAG Agent

#javascript #ai #vectorsearch #ecommerce

2 min read

Imran Siddique

Jan 12

Context Engineering (Part 1): The Architecture of Recall

#dataengineering #rags #informationretrieval #vectorsearch

3 min read

Aun Raza

Nov 13 '25

Combining BM25 & Vector Search: A Hybrid Approach for Enhanced Retrieval Performance

#technology #bm25 #vectorsearch #hybridsearch

5 min read

Ricardo Ferreira for Redis

Dec 9 '25

Implementing Semantic Anomaly Detection with OpenTelemetry and Redis

#opentelemetry #vectorsearch #anomalydetection #redis

13 min read

JennyThomas498

Oct 10 '25

Under the Hood of Conversational AI Search: A Deep Dive into the NLWeb Prototype

#ai #llm #vectorsearch

8 min read

Dmitry Kan for Vector Podcast

Nov 7 '25

Novel idea in vector search: Wormhole vectors

#embeddings #vectorsearch #keywordsearch #hybridsearch

2 min read

Mohd Faizal

Sep 16 '25

Building a Legal Document Intelligence Platform with BigQuery AI: 99% Efficiency Implementation Guide

#bigquery #ai #vectorsearch #legaltech

8 min read

Ricardo Mello for MongoDB

Sep 15 '25

Beyond Keywords: Implementing Semantic Search in Java With Spring Data (Part 1)

#java #springboot #vectorsearch #mongodb

12 min read

Zahir Fahmi

Aug 16 '25

PostgreSQL AI: The Everything Database (+ Hidden 10x Performance Tricks)

#postgres #ai #database #vectorsearch

2 min read

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DEV Community

# vectorsearch

Improving Clause-Level Retrieval Accuracy in Legal RAG

What If Vector Search with Voyage AI and MongoDB Was Just... Simple?

Jvector vs. HSNW (Part 3)

JVector vs. Lucene vs. Faiss (Part 2)

Jvector And Python! (Part 4 of jvector series)

RAG Pipeline Deep Dive: Ingestion, Chunking, Embedding, and Vector Search

Why Regex Fails at Google Taxonomy: Building a 98% Accurate RAG Agent

Context Engineering (Part 1): The Architecture of Recall

Combining BM25 & Vector Search: A Hybrid Approach for Enhanced Retrieval Performance

Implementing Semantic Anomaly Detection with OpenTelemetry and Redis

Under the Hood of Conversational AI Search: A Deep Dive into the NLWeb Prototype

Novel idea in vector search: Wormhole vectors

Building a Legal Document Intelligence Platform with BigQuery AI: 99% Efficiency Implementation Guide

Beyond Keywords: Implementing Semantic Search in Java With Spring Data (Part 1)

PostgreSQL AI: The Everything Database (+ Hidden 10x Performance Tricks)