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#vectordatabase

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

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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
Vector Search Is Still the Memory Layer Agents Actually Need

Real-world debugging tips and retrieval trade-offs

Vector Search Is Still the Memory Layer Agents Actually Need

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4 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

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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

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5 min read
VectorAI DB Doesn't Embed Your Text, and That's the Point

VectorAI DB Doesn't Embed Your Text, and That's the Point

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5 min read
Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata Design

Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata Design

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14 min read
Building a Production-Grade Hybrid RAG System

Building a Production-Grade Hybrid RAG System

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12 min read
The $11,000/Month diff: You're Shipping 600 DPI When 150 Gets the Job Done

The $11,000/Month diff: You're Shipping 600 DPI When 150 Gets the Job Done

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3 min read
How Vector Databases Search a Million Vectors Without Checking a Million

How Vector Databases Search a Million Vectors Without Checking a Million

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4 min read
Scaling RAG Systems: Production Architecture, Performance, and Cost Optimization

Scaling RAG Systems: Production Architecture, Performance, and Cost Optimization

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

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

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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)

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

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

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

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

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3 min read
Really fast columnar analytics engine

Really fast columnar analytics engine

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1 min read
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