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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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Processing data with “Data Prep Kit” (part 2)

Processing data with “Data Prep Kit” (part 2)

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8 min read
Entendiendo los Embeddings en Inteligencia Artificial

Entendiendo los Embeddings en Inteligencia Artificial

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3 min read
Vector Database Indexing: A Comprehensive Guide

Vector Database Indexing: A Comprehensive Guide

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7 min read
🧭 Part 3: Implementing Vector Search with Pinecone

🧭 Part 3: Implementing Vector Search with Pinecone

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2 min read
Building a Semantic Meme Search Engine

Building a Semantic Meme Search Engine

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

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

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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
How to Create Vector Embeddings in Node.js

How to Create Vector Embeddings in Node.js

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9 min read
RAG Vector Database - Use Cases & Tutorial

RAG Vector Database - Use Cases & Tutorial

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4 min read
Quick tip: How to Build Local LLM RAG Apps with Ollama, DeepSeek-R1 and SingleStore

Quick tip: How to Build Local LLM RAG Apps with Ollama, DeepSeek-R1 and SingleStore

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4 min read
Quick tip: How to Build Local LLM Apps with Ollama, DeepSeek-R1 and SingleStore

Quick tip: How to Build Local LLM Apps with Ollama, DeepSeek-R1 and SingleStore

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2 min read
What Are Embeddings? How They Help in RAG

What Are Embeddings? How They Help in RAG

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3 min read
Graph database vs relational vs vector vs NoSQL

Graph database vs relational vs vector vs NoSQL

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2 min read
Harnessing the Power of Vector Embeddings in Google Apps Script with Vertex AI

Harnessing the Power of Vector Embeddings in Google Apps Script with Vertex AI

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5 min read
OpenAI Compatible API

OpenAI Compatible API

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11 min read
AWS Graviton 3 > Graviton 4 for Vector Similarity Search

AWS Graviton 3 > Graviton 4 for Vector Similarity Search

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12 min read
Understanding The Math Behind RRF and DBSF with Examples

Understanding The Math Behind RRF and DBSF with Examples

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6 min read
MongoDB Vector Search Index, with local Atlas and Ollama

MongoDB Vector Search Index, with local Atlas and Ollama

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4 min read
RAG: What, Why and How

RAG: What, Why and How

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6 min read
The Magic of Embeddings: How AI Understands Language Like Humans

The Magic of Embeddings: How AI Understands Language Like Humans

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4 min read
Exploring RAG: Hypothetical Document Embeddings (HyDE)

Exploring RAG: Hypothetical Document Embeddings (HyDE)

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2 min read
How to Use AI in Web Development: Integrating ChatGPT, LangChain, and Vector Databases

How to Use AI in Web Development: Integrating ChatGPT, LangChain, and Vector Databases

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3 min read
What are some practical use cases for the MERGE command in data warehousing?

What are some practical use cases for the MERGE command in data warehousing?

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3 min read
Docling's new “SmolDocling-256M” Rocks

Docling's new “SmolDocling-256M” Rocks

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9 min read
Tutorial: Build a RAG Chatbot with LangChain 🦜, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

Tutorial: Build a RAG Chatbot with LangChain 🦜, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

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8 min read
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