RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone
Blog post from Anyscale
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 36 | 1,692 | 211 | 78 | +87% |
| RAG | 7 | 1,360 | 163 | 55 | +97% |
| Serverless | 3 | 742 | 150 | 75 | +37% |
| Data Pipeline | 1 | 548 | 136 | 63 | +19% |