Geert Baeke • 3/21/2023

Storing and querying for embeddings with Redis

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This technical article explains how to replace Pinecone with Redis for storing and querying vector embeddings (e.g., from OpenAI) to power semantic search over blog posts. It covers the architecture, running Redis with Docker, using Redis hashes for data storage, and leveraging RediSearch for efficient vector similarity queries.

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#Redi #Openai #Vector Database
Storing and querying for embeddings with Redis

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