DEV Community

#vectordatabase

Vector databases are purpose-built databases that are specialized to tackle the problems that arise when managing vector embeddings in production scenarios.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Agent Memory: The Four Kinds and How They Fit Together
internals_decoded profile

Agent Memory: The Four Kinds and How They Fit Together

#ai #agentmemory #episodicmemory #vectordatabase
Comments
7 min read
Vector Databases — What They Are and How to Use Pinecone with Spring AI
shamprakash2000 profile

Vector Databases — What They Are and How to Use Pinecone with Spring AI

#java #ai #beginners #vectordatabase
Comments
5 min read
Hybrid Search and Reranking: What Each One Actually Buys You
aws_sa_sg profile

Hybrid Search and Reranking: What Each One Actually Buys You

#ai #rag #vectordatabase #aws
Comments
13 min read
How I Taught a Desktop Recorder to Know Who's Talking — A Transcription, Speaker ID and Vector Search Story
abdullahmubin profile

How I Taught a Desktop Recorder to Know Who's Talking — A Transcription, Speaker ID and Vector Search Story

#ai #rag #vectordatabase #webdev
Comments 1
8 min read
Using the Qdrant Python Client with FastAPI
ayush_kumar_085a0f2c54e3f profile

Using the Qdrant Python Client with FastAPI

#qdrant #vectordatabase #python #fastapi
Comments
8 min read
Hybrid Schematic Search in PostgreSQL with Full-Text and Vector Similarity
ankitarora05 profile

Hybrid Schematic Search in PostgreSQL with Full-Text and Vector Similarity

#vectordatabase #ai #postgressql #pgvetor
Comments
13 min read
What You Need to Know About AI Agent Memory Architecture
offisong_emmanuel_c6bc311 profile

What You Need to Know About AI Agent Memory Architecture

#ai #agents #vectordatabase #machinelearning
Comments
14 min read
E-Governance for Vernacular India: Moving from Lexical to Sparse-Vector Hybrid Search
zobo_07 profile

E-Governance for Vernacular India: Moving from Lexical to Sparse-Vector Hybrid Search

#ai #vectordatabase #machinelearning #webdev
5
Comments
14 min read
Hybrid Search RAG Over Internal Docs: Production Guide
ayush_kumar_085a0f2c54e3f profile

Hybrid Search RAG Over Internal Docs: Production Guide

#rag #hybridsearch #vectordatabase #internaldocs
Comments
5 min read
pgvector Without Embeddings: When a Feature Vector Beats Semantic Search
agave_info_solutions profile

pgvector Without Embeddings: When a Feature Vector Beats Semantic Search

#postgres #database #vectordatabase #ai
Comments
6 min read
Setting up vector search for github starred repos
tigawanna profile

Setting up vector search for github starred repos

#ai #vectordatabase #embeddings #gemma
1
Comments
8 min read
My RAG evaluation was lying to me, twice!!
jerry_qian_72ad9b2386d3d0 profile

My RAG evaluation was lying to me, twice!!

#rag #typescript #ai #vectordatabase
Comments
7 min read
Pinecone with Java in AI: Building Semantic Search and RAG Pipelines
said_olano profile

Pinecone with Java in AI: Building Semantic Search and RAG Pipelines

#java #ai #springboot #vectordatabase
Comments 1
7 min read
Vector database
joungpark profile

Vector database

#pgvector #rag #vectordatabase #ai
Comments
2 min read
Semantic Search Without an LLM. Build Blazing-Fast Semantic Search for \$0
umer_abdullah profile

Semantic Search Without an LLM. Build Blazing-Fast Semantic Search for \$0

#ai #llm #vectordatabase #python
1
Comments
4 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.