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Copy file name to clipboardExpand all lines: docs/04_explore/README.md
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5. Let's add data source for insurance policy / rental policies, etc. with AI Search
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Create a JSONfilefor car rental policies. Name the file car_rental_policy.json and store it in the data folder along with the flight & hotel policies:
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a) Create a JSONfilefor car rental policies. Name the file car_rental_policy.json and store it in the data folder along with the flight & hotel policies:
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<details>
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<summary> Click to expand/collapse</summary>
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</details>
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Update the plugin to setup Azure OpenAI client for embeddings, create get_embedding method to generate text embeddings. Define the SearchClient classwith semantic search functionality andfinally initialize the search client.
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b) Update the plugin (car_rental_plugin.py) to setup Azure OpenAI client for embeddings, create get_embedding method to generate text embeddings. Define the SearchClient classwith semantic search functionality andfinally initialize the search client.
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<details>
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</details>
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Update the Car_Rental_Tools class to include policy search:
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c) Update the Car_Rental_Tools classin the plugin (car_rental_plugin.py) to include policy search:
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</details>
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Create an embedding generation script & store itin./scripts/generate_car_rental_policy_embeddings.py :
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d) Create an embedding generation script called generate_car_rental_policy_embeddings.py &inapp/backend/scripts folder:
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</details>
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Run the embedding generation script in the terminal
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e) Run the embedding generation script in the terminal
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</details>
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### Summarizing Adding a New Car Rental Agent with Semantic Search
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### Summarizing Exercise 1 - Adding a New Car Rental Agent with Semantic Search
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This exercise demonstrates how to extend the voice agent system by adding a completely new domain-specific agent for car rentals, complete with semantic search capabilities for policy information.
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