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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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Memory in AI Companions: Implementing Vector-Based Long-Term User State

Memory in AI Companions: Implementing Vector-Based Long-Term User State

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3 min read
Building an Archaeology Matcher: A (Literal) Deep Dive Into Multimodal Vector Search

Building an Archaeology Matcher: A (Literal) Deep Dive Into Multimodal Vector Search

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8 min read
Embeddings y RAG en aplicaciones web

Embeddings y RAG en aplicaciones web

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8 min read
RAG is more than Vector Search

RAG is more than Vector Search

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4 min read
Demystifying Retrieval-Augmented Generation (RAG)

Demystifying Retrieval-Augmented Generation (RAG)

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4 min read
Dense vs Sparse Retrieval: Mastering FAISS, BM25, and Hybrid Search

Dense vs Sparse Retrieval: Mastering FAISS, BM25, and Hybrid Search

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15 min read
You may not need pg_vector, sqlite-vss, etc.

You may not need pg_vector, sqlite-vss, etc.

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2 min read
Why Multi-Validator Hosts Break Traditional Security Scanning

Why Multi-Validator Hosts Break Traditional Security Scanning

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4 min read
Opensearch as a Vector Database

Opensearch as a Vector Database

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5 min read
How Google Mistook My Sui Node for a Bitcoin Farm (And Banned Me) (again)

How Google Mistook My Sui Node for a Bitcoin Farm (And Banned Me) (again)

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3 min read
Keyword vs. semantic search with AI

Keyword vs. semantic search with AI

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4 min read
LLM Reasoning: Why Models Hallucinate and how to reduce it?

LLM Reasoning: Why Models Hallucinate and how to reduce it?

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3 min read
Vector Databases 101: FAISS vs Pinecone

Vector Databases 101: FAISS vs Pinecone

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4 min read
Cloud SQL vs. Specialized Databases: Choosing Your Vector Search Solution

Cloud SQL vs. Specialized Databases: Choosing Your Vector Search Solution

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4 min read
It’s All About Memory: The Missing Piece in AI Agents

It’s All About Memory: The Missing Piece in AI Agents

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3 min read
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