RAG and search
Evolving Pinterest’s Embedding Retrieval Platform
Our short summary of Pinterest’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on medium.com (opens in a new tab)Problem
Embedding search was becoming too expensive and slow as the number of items grew into tens of billions.
Solution
They upgraded their internal search platform to use quantized integer vectors, hybrid queries and more flexible indexing, cutting memory use while keeping latency low.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on medium.com (opens in a new tab)
HubSpot
Qdrant