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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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Databend Monthly Report(June 2025)
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Databend Monthly Report(June 2025)

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5 min read
Pinecone Price Increase 😱 Is Chroma Cloud the Best Alternative?
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Pinecone Price Increase 😱 Is Chroma Cloud the Best Alternative?

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3 min read
Context-Aware Search for Your Service: No GPUs, No Hassle
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Context-Aware Search for Your Service: No GPUs, No Hassle

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2 min read
Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB
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Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB

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14 min read
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
Embeddings & Cosine Similarity Explained Simply
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Embeddings & Cosine Similarity Explained Simply

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10 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
Medical RAG Research with txtai

Medical RAG Research with txtai

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7 min read
Beyond Cosine Similarity: Multi-Faceted Scoring for Smarter Recommendations

Beyond Cosine Similarity: Multi-Faceted Scoring for Smarter Recommendations

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4 min read
Make a medical chatbot using GraphRAG with SurrealDB + LangChain
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Make a medical chatbot using GraphRAG with SurrealDB + LangChain

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8 min read
How I ditched LangChain to create my own custom RAG
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How I ditched LangChain to create my own custom RAG

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10 min read
Couchbase Weekly Updates - June 13, 2025
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Couchbase Weekly Updates - June 13, 2025

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1 min read
Agent Long-term Memory with Spring AI & Redis
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Agent Long-term Memory with Spring AI & Redis

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14 min read
Building a Multimodal Deep Research Agent
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Building a Multimodal Deep Research Agent

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8 min read
Semantic search in Rust using SurrealDB and Mistral AI
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Semantic search in Rust using SurrealDB and Mistral AI

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12 min read
JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy
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JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

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6 min read
Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

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

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3 min read
How to Embed User Preferences
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How to Embed User Preferences

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2 min read
My First AI Project: A Journey of Building RAG Knowledge Base from Scratch

My First AI Project: A Journey of Building RAG Knowledge Base from Scratch

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3 min read
Contextual chunking for Retrieval Augmented Generation
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Contextual chunking for Retrieval Augmented Generation

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59 min read
Simplifying Programmatic Database Handling
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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
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5 Hidden Adobe Illustrator Features Every Designer (and Dev) Should Know

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3 min read
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