How to build a customer support chatbot in 15 minutes
Blog post from Fivetran
Fivetran has introduced a GenAI-Ready Data Model, a pre-built data model that enables businesses to turn data from popular sources like Zendesk, Jira, and HubSpot into GenAI-ready tables with minimal technical effort or setup. This model simplifies the process of building high-quality retrieval-augmented generation (RAG) pipelines by provisioning vector databases, embedding source documents and queries, conducting similarity searches to retrieve relevant content, and fine-tuning outputs. By leveraging this data model, organizations can build intelligent tools, such as AI-powered search assistants or customer sentiment analyzers, with minimal technical effort or setup, unlocking new levels of productivity and innovation across industries. The GenAI-Ready Data Model has already been successfully implemented by Fivetran customers, particularly in customer support operations, where it powers AI-driven chatbots that surface insights in seconds, integrate seamlessly with existing systems, and adapt to their unique knowledge base.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 10 | 1,528 | 261 | 92 | -30% |
| Vector Search | 4 | 1,947 | 300 | 116 | -32% |
| LLM | 2 | 4,013 | 569 | 191 | -13% |
| AI Model Fine-tuning | 1 | 643 | 171 | 88 | -36% |
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