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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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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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Comments 1
5 min read
MongoDB Vector Search Index, With Local Atlas and Ollama

MongoDB Vector Search Index, With Local Atlas and Ollama

8
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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
Building a Semantic Meme Search Engine

Building a Semantic Meme Search Engine

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6 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
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
Docling's new โ€œSmolDocling-256Mโ€ Rocks

Docling's new โ€œSmolDocling-256Mโ€ Rocks

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9 min read
Build RAG Chatbot ๐Ÿค– with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

Build RAG Chatbot ๐Ÿค– with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

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8 min read
RAG Vector Database - Use Cases & Tutorial

RAG Vector Database - Use Cases & Tutorial

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4 min read
Tutorial: Build a RAG Chatbot with LangChain ๐Ÿฆœ, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

Tutorial: Build a RAG Chatbot with LangChain ๐Ÿฆœ, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

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8 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
๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—ฉ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ๐˜€: ๐—ง๐—ต๐—ฒ ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฏ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐—ฅ๐—”๐—š ๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น

๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—ฉ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ๐˜€: ๐—ง๐—ต๐—ฒ ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฏ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐—ฅ๐—”๐—š ๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น

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3 min read
Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

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4 min read
Optimizing a RAG-Based Helpdesk Chatbot: Improving Accuracy with pgvector

Optimizing a RAG-Based Helpdesk Chatbot: Improving Accuracy with pgvector

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4 min read
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