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.
My Favorite Constant in Retrieval Is 60. Nobody Tunes It. That's the Point.

My Favorite Constant in Retrieval Is 60. Nobody Tunes It. That's the Point.

Comments
2 min read
You Deleted BM25 the Day You Bought a Vector Database. Your Fraud Queue Noticed

You Deleted BM25 the Day You Bought a Vector Database. Your Fraud Queue Noticed

1
Comments
3 min read
Building Intelligent Chatbots with RAG and Vector Databases: A Developer's Practical Guide

Building Intelligent Chatbots with RAG and Vector Databases: A Developer's Practical Guide

Comments
5 min read
#Neo4j vs pgvector vs MongoDB vs Milvus vs Pinecone vs FAISS: The Complete Vector Database Guide for 2026

#Neo4j vs pgvector vs MongoDB vs Milvus vs Pinecone vs FAISS: The Complete Vector Database Guide for 2026

Comments
15 min read
How Vector Databases Search a Million Vectors Without Checking a Million

How Vector Databases Search a Million Vectors Without Checking a Million

Comments
4 min read
Kdrant 2.0: I removed the reason to use the official client

Kdrant 2.0: I removed the reason to use the official client

3
Comments
5 min read
I built RAG over code, and vector search alone failed me

I built RAG over code, and vector search alone failed me

2
Comments 3
4 min read
Vector Databases, Deep Indexing & Token Economics: The Complete Story (phase 3)

Vector Databases, Deep Indexing & Token Economics: The Complete Story (phase 3)

8
Comments
17 min read
AI Fundamentals - Part 3: Giving AI Knowledge Beyond Its Training

AI Fundamentals - Part 3: Giving AI Knowledge Beyond Its Training

Comments
9 min read
pgvector or Pinecone: A reflection on choosing to provide business value

pgvector or Pinecone: A reflection on choosing to provide business value

Comments
9 min read
Retrieval-Augmented Generation (RAG): Stop Your AI from Hallucinating

Retrieval-Augmented Generation (RAG): Stop Your AI from Hallucinating

1
Comments 2
3 min read
Really fast columnar analytics engine

Really fast columnar analytics engine

1
Comments 2
1 min read
Stop breaking your vector DB: How I fixed the Pinecone 40KB metadata limit

Stop breaking your vector DB: How I fixed the Pinecone 40KB metadata limit

Comments
2 min read
Qdrant vs Pinecone: Self-Hosted Vector Search for Production RAG

Qdrant vs Pinecone: Self-Hosted Vector Search for Production RAG

Comments 1
11 min read
Building a cross-user review graph with pgvector on Amazon Aurora

Building a cross-user review graph with pgvector on Amazon Aurora

1
Comments
3 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.