Chat Retriever Agent
Chat Retriever Agent: Instantly access and summarize past conversations for powerful insights.
Publisher
Accenture
Product Details
This agent retrieves and summarizes past historical chat transcripts using a customer ID. It interacts with users by pulling up those transcripts, autonomously summarizes past interactions, and proactively provides contextual insights to the person handling the conversation.
The agent serves customers and human agents in support interactions. It reduces redundant troubleshooting steps, enhances personalization in support interactions, and improves agent decision-making with historical context. It targets the technology vertical and is built with BigQuery, a custom LLM wrapper, and Python asyncio.
Key Use Cases
Contextual Support Handover
Queries BigQuery via Python asyncio to instantly summarize previous customer chat histories, arming human agents with vital context during live calls.
Repetitive Troubleshooting Mitigation
Identifies previously attempted technical solutions across historical transcripts to prevent tier-1 support from repeating redundant troubleshooting steps.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.