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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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I built a vector embedding cache that makes stale hits structurally impossible

I built a vector embedding cache that makes stale hits structurally impossible

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1 min read
If your vector DB needs to see your data to search it, you’re not building private AI you’re renting confidence.

If your vector DB needs to see your data to search it, you’re not building private AI you’re renting confidence.

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3 min read
ChromaDB Tutorial: Build Your First Vector Database with Python (2026)

ChromaDB Tutorial: Build Your First Vector Database with Python (2026)

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3 min read
Building a Healthcare AI Assistant with RAG, .NET, PostgreSQL, and pgvector

Building a Healthcare AI Assistant with RAG, .NET, PostgreSQL, and pgvector

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3 min read
Semantic Caching with Spring AI and PgVector: Reduce LLM Costs and Improve Response Time by 90%

Semantic Caching with Spring AI and PgVector: Reduce LLM Costs and Improve Response Time by 90%

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5 min read
I Run 5M Vectors on a $6/mo Server. Pinecone Would Charge Me $210.

I Run 5M Vectors on a $6/mo Server. Pinecone Would Charge Me $210.

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2 min read
Sovereign Synapse: The Local Brain

A 33-iteration battle for semantic search

Sovereign Synapse: The Local Brain

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4 min read
Understanding RAG: The Architecture That’s Revolutionizing AI Responses

Understanding RAG: The Architecture That’s Revolutionizing AI Responses

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6 min read
I Built a Python Agent That Uses a Vector DB as Memory, Not Retrieval

I Built a Python Agent That Uses a Vector DB as Memory, Not Retrieval

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6 min read
milvuslite-kit configuration over code for vector search and rag workflows

milvuslite-kit configuration over code for vector search and rag workflows

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1 min read
Your vector memory database remembers everything. That’s exactly the issue.

Your vector memory database remembers everything. That’s exactly the issue.

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8 min read
Vector Databases in RAG - Day 2

Vector Databases in RAG - Day 2

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5 min read
Basics of Vector Databases: Moving Beyond Rows and Columns

Basics of Vector Databases: Moving Beyond Rows and Columns

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2 min read
Your AI Agent Craves Curation. Here’s the FADEMEM Memory Architecture That Delivers It.

Your AI Agent Craves Curation. Here’s the FADEMEM Memory Architecture That Delivers It.

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13 min read
Understanding Text Similarity with Embeddings and Cosine Similarity

Understanding Text Similarity with Embeddings and Cosine Similarity

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4 min read
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