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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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Vector Embeddings and Vocal Search. Analysis and innovation notes

Vector Embeddings and Vocal Search. Analysis and innovation notes

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5 min read
Couchbase Weekly Updates - June 27, 2025

Couchbase Weekly Updates - June 27, 2025

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2 min read
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

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12 min read
A Complete Guide to Retrieval-Augmented Generation

A Complete Guide to Retrieval-Augmented Generation

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8 min read
OpenHPI Embeddig NLP Systems Free course!

OpenHPI Embeddig NLP Systems Free course!

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1 min read
How to setup RAG with VectorDB

How to setup RAG with VectorDB

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4 min read
Building AI Agents: From Zero to Hero

Building AI Agents: From Zero to Hero

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11 min read
Medical RAG Research with txtai

Medical RAG Research with txtai

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7 min read
Couchbase Weekly Updates - June 13, 2025

Couchbase Weekly Updates - June 13, 2025

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1 min read
How to Install Qwen3 Embedding 8B: Best Model for RAG, Search, & Multilingual Embeddings

How to Install Qwen3 Embedding 8B: Best Model for RAG, Search, & Multilingual Embeddings

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6 min read
Building a Multimodal Deep Research Agent

Building a Multimodal Deep Research Agent

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8 min read
What is an Embedding? And Why Should Devs Care?

What is an Embedding? And Why Should Devs Care?

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3 min read
How to Embed User Preferences

How to Embed User Preferences

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2 min read
Simplifying Programmatic Database Handling

Simplifying Programmatic Database Handling

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4 min read
Unorthodox journey towords data compression

Unorthodox journey towords data compression

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2 min read
5 Hidden Adobe Illustrator Features Every Designer (and Dev) Should Know

5 Hidden Adobe Illustrator Features Every Designer (and Dev) Should Know

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3 min read
SQL vs NoSQL? Why Not Both?

SQL vs NoSQL? Why Not Both?

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2 min read
Cosine Similarity in Vector Databases: Why It Matters for GenAI & RAG Systems

Cosine Similarity in Vector Databases: Why It Matters for GenAI & RAG Systems

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2 min read
Quick Apply: Building A Conversational Job Application Web App

Quick Apply: Building A Conversational Job Application Web App

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4 min read
Recent Trends in Distributed Warehousing and Data Mining

Recent Trends in Distributed Warehousing and Data Mining

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2 min read
Growing the Tree: Multi-Agent LLMs Meet RAG, Vector Search, and Goal-Oriented Thinking - Part 2

Growing the Tree: Multi-Agent LLMs Meet RAG, Vector Search, and Goal-Oriented Thinking - Part 2

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10 min read
πŸš€ Build Your Own AI Assistant with Node.js: My Roadmap and Journey 🌟

πŸš€ Build Your Own AI Assistant with Node.js: My Roadmap and Journey 🌟

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4 min read
VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval

VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval

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1 min read
Building a smarter Web scraper: Vector embeddings for intelligent content retrieval

Building a smarter Web scraper: Vector embeddings for intelligent content retrieval

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3 min read
Meetup: Vector databases, RAG, BM25, sparse searches, AI model training

Meetup: Vector databases, RAG, BM25, sparse searches, AI model training

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2 min read
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