# How 1up uses Pinecone

**10x faster**: “10x faster response generation for RFPs and compliance questionnaires.”

As published on [pinecone.io](https://www.pinecone.io/customers/1up/). Captured by usedby on 2026-10-08.

- Company: [1up](https://www.usedby.ai/companies/1up.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Teams: Sales

## What the story says

1up uses Pinecone's vector database as the retrieval layer of a RAG system that automates answers for sales reps, such as RFP responses and compliance questionnaires. It replaced 1up's home-grown embedding system and stores indexed customer content, retrieves relevant data on demand, and takes corrected responses back in.

Summary written by usedby from the source page, in English. The figures are those of Pinecone and 1up, not ours.

> 1up leveraged Pinecone’s vector database to develop a RAG solution to automate responses for reps, ultimately replacing their home-grown embedding system.

> Pinecone’s vector database pushed 1up ahead of the competition, delivering unparalleled speed and accuracy in answer generation. Our users can now respond to high volumes of queries with confidence and efficiency.
>
> George Avetisov, Founder and CEO, 1up

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 10x faster is printed word for word on the page, near the name of 1up.
- Checked: the passage quoted above is copied word for word from the page, near the name of 1up.
- Checked: each number in our summary is printed on the page.
- Checked: 1up uses Pinecone. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/1up-pinecone · How we check: https://www.usedby.ai/methodology