Asaad Almutareb
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metadata
title: Insurance Advisor Agents PoC
emoji: 🤖
colorFrom: red
colorTo: indigo
sdk: docker
python: 3.11
app_file: app_gui.py
pinned: false

Insurance Advisor Agent(s)

Setup a modular, multi-agent system to handle inqueries to an insurance company. The system utilizes different approachs to find reliable answers regarding the insurance products

  1. Improve Vectorstore search Isayah:
    • multi index (chunks+summaries)

    • metadata filtering Karan:

    • re-ranking

    • hybrid search (bm25+vectorstore)

    • HyDE/HyQE

  2. Use ReAct agent instead of chain [DONE]
    • add tools (Google search engine) [DONE]
    • query re-writing
    • ...
  3. Use Corrective RAG
  4. Workflow for the agents
    • determine funnel stage of customer
    • different prompts per step
    • follow a "script"

This project is licensed under the MIT License: LICENSE.