Customer service agents often deal with large volumes of questions and requests, which can lead to errors, slower responses and lower customer satisfaction. The Building a Chatbot With Large Language Models (LLMs) Solution Accelerator shows how organizations can use an internal knowledge base and LLMs to provide more consistent support and recommendations for customer service questions.

With this Accelerator, you get

• Ready-to-use resources: pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

• Ingest internal knowledge: bring in content from an internal knowledge base.

• Ground responses in trusted content: combine a pretrained LLM with knowledge extracted from the same documents used to train human agents.

• Support customer service teams: use LLMs to provide recommendations that address customer support questions.

• Improve consistency: help agents deliver more consistent and expert-level assistance.

🔗 Launch Solution Accelerator 👈