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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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ChromaDB for the SQL Mind

ChromaDB for the SQL Mind

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4 min read
Getting started with LLM APIs

Getting started with LLM APIs

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16 min read
Understanding Vector Databases: A Beginner's Guide

Understanding Vector Databases: A Beginner's Guide

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4 min read
Vector Databases: Your AI's New Best Friend

Vector Databases: Your AI's New Best Friend

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1 min read
Simplest markdown component for your AI apps

Simplest markdown component for your AI apps

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1 min read
Semantic search with Azure MS SQL and EF Core
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Semantic search with Azure MS SQL and EF Core

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2 min read
Enhancing Hybrid Search in MongoDB: Combining RRF, Thresholds, and Weights
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Enhancing Hybrid Search in MongoDB: Combining RRF, Thresholds, and Weights

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2 min read
Serverless semantic search - AWS Lambda, AWS Bedrock, Neon
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Serverless semantic search - AWS Lambda, AWS Bedrock, Neon

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8 min read
Generative AI: A Personal Deep Dive – My Notes and Insights
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Generative AI: A Personal Deep Dive – My Notes and Insights

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13 min read
How to integrate pgvector's Docker image with Langchain?
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How to integrate pgvector's Docker image with Langchain?

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7 min read
Announcing 12 Days of Codemas: The DataStax Holiday Giveaway!
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Announcing 12 Days of Codemas: The DataStax Holiday Giveaway!

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3 min read
Weekly Updates - Dec 20, 2024
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Weekly Updates - Dec 20, 2024

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1 min read
Detecting and Analyzing Comment Quality Using Vector Search
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Detecting and Analyzing Comment Quality Using Vector Search

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6 min read
Choosing a Vector Store for LangChain
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Choosing a Vector Store for LangChain

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5 min read
FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval
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FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval

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1 min read
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