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.
How to Build a Global Search Engine Using Vector Embeddings

How to Build a Global Search Engine Using Vector Embeddings

1
Comments
4 min read
Automate Vector Database Update with AWS and CircleCI

Automate Vector Database Update with AWS and CircleCI

Comments
21 min read
Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB

Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB

20
Comments
14 min read
Designing Data Systems with Vector Embeddings using Redis Vector Sets

Designing Data Systems with Vector Embeddings using Redis Vector Sets

1
Comments
8 min read
Exploring RAG: Math behind Embeddings & Cosine Similarity

Exploring RAG: Math behind Embeddings & Cosine Similarity

2
Comments
10 min read
Beyond Cosine Similarity: Multi-Faceted Scoring for Smarter Recommendations

Beyond Cosine Similarity: Multi-Faceted Scoring for Smarter Recommendations

Comments
4 min read
Is your Vector Database Really Fast?

Is your Vector Database Really Fast?

1
Comments
9 min read
Make a medical chatbot using GraphRAG with SurrealDB + LangChain

Make a medical chatbot using GraphRAG with SurrealDB + LangChain

16
Comments
8 min read
Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

2
Comments
7 min read
Couchbase Weekly Updates - June 13, 2025

Couchbase Weekly Updates - June 13, 2025

Comments
1 min read
Agent Long-term Memory with Spring AI & Redis

Agent Long-term Memory with Spring AI & Redis

1
Comments 1
14 min read
halfvec: Half the Bits, Twice the speed?

halfvec: Half the Bits, Twice the speed?

1
Comments
7 min read
Semantic search in Rust using SurrealDB and Mistral AI

Semantic search in Rust using SurrealDB and Mistral AI

15
Comments
12 min read
JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

6
Comments
6 min read
Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

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