Case Study: Shortwave improves AI email productivity and search with Pinecone

A Pinecone Case Study

Preview of the Shortwave Case Study

Shortwave - Customer Case Study

Shortwave, an AI-enhanced email app, faced the challenge of building reliable AI features for its product using inherently unreliable off-the-shelf LLMs that were prone to hallucination. The company needed a way to get the right data into its prompts to make its AI trustworthy and usable for its customers.

By implementing a RAG system with Pinecone, Shortwave powers features like AI Autocomplete. The solution uses Pinecone for vector search to retrieve relevant context from a user's past emails, which is then used to prompt a fine-tuned model. This significantly improved the performance and accuracy of results for users. Pinecone serverless also provided a scalable solution that reduced costs by up to 50x.


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Shortwave

Andrew Lee

Co-Founder and CEO


Pinecone

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