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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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Semantic Search with Spring Boot & Redis

Semantic Search with Spring Boot & Redis

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

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

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

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3 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
Build a RAG Chat App with Firebase Genkit and Astra DB

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

Graph database vs relational vs vector vs NoSQL

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2 min read
How to Create Vector Embeddings in Python

How to Create Vector Embeddings in Python

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9 min read
Agentic RAG Best Practices: A Complete Guide for Building AI Apps With PostgreSQL

Agentic RAG Best Practices: A Complete Guide for Building AI Apps With PostgreSQL

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3 min read
Visual Grounding from Docling!

Visual Grounding from Docling!

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6 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
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
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
🧭 Part 3: Implementing Vector Search with Pinecone

🧭 Part 3: Implementing Vector Search with Pinecone

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2 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
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
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