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.
I added pgvector support to my .NET AI memory library

I added pgvector support to my .NET AI memory library

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

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

Comments
11 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
Can ClickHouse Replace a Vector Database?

Can ClickHouse Replace a Vector Database?

2
Comments 1
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
Why Most RAG Systems Fail in Production: The Hidden Architecture Problems Behind AI Search

Why Most RAG Systems Fail in Production: The Hidden Architecture Problems Behind AI Search

3
Comments 5
12 min read
Kdrant: an idiomatic, coroutine-first Kotlin client for Qdrant

Kdrant: an idiomatic, coroutine-first Kotlin client for Qdrant

1
Comments 3
3 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
Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure

Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure

4
Comments
10 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.