Storing and querying for embeddings with Redis
Read OriginalThis 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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