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| 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. | |