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 | 1,728 | 228 | 84 | +63% |
| RAG | 7 | 1,418 | 170 | 60 | +93% |
| Serverless | 3 | 748 | 156 | 81 | +34% |
| Data Pipeline | 1 | 555 | 140 | 66 | +11% |
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