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RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

Blog post from Anyscale

Post Details
Company
Date Published
Author
Scott Lee, Kyle Huang, Cheng Su, Hao Chen
Word Count
995
Language
English
Hacker News Points
1
Summary

Anyscale and Pinecone have teamed up to offer a cost-effective solution for generating embeddings, a crucial step in building Retrieval-Augmented Generation (RAG) applications. By leveraging Pinecone's distributed vector database, users can generate embeddings at 10% of the cost of other popular offerings. This groundbreaking serverless vector database allows companies to store billions of vectors and only pay for what they search, with a pioneering architecture that provides low latency and always-fresh vector search over practically unlimited data sizes at a low cost. The solution is built on top of Anyscale's platform, which enables developers to scale their workloads without worrying about infrastructure management, and offers usage-based billing that lets companies pay only for what they use. By using this solution, users can generate embeddings efficiently and effectively, making it an ideal choice for RAG applications.