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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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🚀 Build Your Own AI Assistant with Node.js: My Roadmap and Journey 🌟
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🚀 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
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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
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Building a smarter Web scraper: Vector embeddings for intelligent content retrieval

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

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2 min read
Vector Search in Action: Personalization with AI Embeddings
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Vector Search in Action: Personalization with AI Embeddings

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5 min read
📺 Find the Anime: A Semantic AI Anime Search Tool
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📺 Find the Anime: A Semantic AI Anime Search Tool

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4 min read
Why PostgreSQL Might Be All the Backend You Need: Forget the Kitchen Sink

Why PostgreSQL Might Be All the Backend You Need: Forget the Kitchen Sink

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4 min read
Beyond Basic Practice: Creating the JobSage AI Interview Simulator with Gemini & Embeddings

Beyond Basic Practice: Creating the JobSage AI Interview Simulator with Gemini & Embeddings

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5 min read
Entendiendo los Embeddings en Inteligencia Artificial

Entendiendo los Embeddings en Inteligencia Artificial

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3 min read
Smarter RAG Systems with Graphs
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Smarter RAG Systems with Graphs

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4 min read
Vector Database Indexing: A Comprehensive Guide

Vector Database Indexing: A Comprehensive Guide

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7 min read
Postgres vs. Qdrant: Why Postgres Wins for AI and Vector Workloads
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Postgres vs. Qdrant: Why Postgres Wins for AI and Vector Workloads

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4 min read
Vector Databases: their utility and functioning (RAG usage)

Vector Databases: their utility and functioning (RAG usage)

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12 min read
Improve Your Python Search Relevancy with Astra DB Hybrid Search
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Improve Your Python Search Relevancy with Astra DB Hybrid Search

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11 min read
Build Code-RAGent, an agent for your codebase
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Build Code-RAGent, an agent for your codebase

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5 min read
Semantic Search with Spring Boot & Redis
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Semantic Search with Spring Boot & Redis

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10 min read
Setting up the Pinecone MCP server in your IDE
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Setting up the Pinecone MCP server in your IDE

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3 min read
Ingest (almost) any non-PDF document in a vector database, effortlessly
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Ingest (almost) any non-PDF document in a vector database, effortlessly

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3 min read
Embeddings clustering with Agglomerative Hierarchical Clustering (messy-folder-reorganizer-ai)
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Embeddings clustering with Agglomerative Hierarchical Clustering (messy-folder-reorganizer-ai)

1
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3 min read
Build RAG Chatbot 🤖 with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

Build RAG Chatbot 🤖 with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

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8 min read
Build a RAG Chat App with Firebase Genkit and Astra DB
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Build a RAG Chat App with Firebase Genkit and Astra DB

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9 min read
Creating Your First OpenSearch Dashboard: A Step-by-Step Tutorial

Creating Your First OpenSearch Dashboard: A Step-by-Step Tutorial

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7 min read
Graph database vs relational vs vector vs NoSQL
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Graph database vs relational vs vector vs NoSQL

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2 min read
How to Create Vector Embeddings in Python
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How to Create Vector Embeddings in Python

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9 min read
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