# How Assembled uses Pinecone

**~95%**: “a ~95% reduction of time, freeing up human agents to focus on more complex issues”

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

- Company: [Assembled](https://www.usedby.ai/companies/assembled.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)

## What the story says

Assembled uses Pinecone vector search, combined with Algolia keyword search, to retrieve relevant information for its Assembled Assist tool. Assist uses LLMs to generate contextual responses to customer support tickets, and the retrieval step supports those responses through a RAG approach.

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

> With Assembled Assist, tasks that once took 40 minutes are now completed in just 2 minutes — a ~95% reduction of time, freeing up human agents to focus on more complex issues.

> Pinecone was a no-brainer for us. We needed to move quickly, and Pinecone was the leader in the vector database space. Its cost-effectiveness and ease of integration have been significant advantages, allowing us to focus on delivering value rather than managing infrastructure. We can test and adjust on the fly, which is crucial for maintaining high search quality and continuously enhancing our support solutions.
>
> John Wang, Co-founder and CTO of Assembled

## What usedby checked

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

- Checked: the figure ~95% is printed word for word on the page, near the name of Assembled.
- Checked: the passage quoted above is copied word for word from the page, near the name of Assembled.
- Checked: Assembled 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/assembled-pinecone · How we check: https://www.usedby.ai/methodology