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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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Beyond Vector Search: Building Better RAG Retrieval with Hybrid Search and Reranking

Beyond Vector Search: Building Better RAG Retrieval with Hybrid Search and Reranking

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11 min read
Vector Databases: Types, Architecture, and Why They Power Modern Apps

Vector Databases: Types, Architecture, and Why They Power Modern Apps

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5 min read
Qdrant TypeScript in 2026: use query(), not stale search() examples

Qdrant TypeScript in 2026: use query(), not stale search() examples

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3 min read
RAG Database with VLM as Extractor

RAG Database with VLM as Extractor

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3 min read
My AI Agent Confidently Told Users We Had No Smartphones While We Had 2 in Stock. I Wanted to Delete the Repo

My AI Agent Confidently Told Users We Had No Smartphones While We Had 2 in Stock. I Wanted to Delete the Repo

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3 min read
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.

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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

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

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

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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

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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
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