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Agent-Customer-Service

Free

PharmaCare is an AI sales and customer service platform featuring product discovery, order workflows, admin management, and document-grounded RAG.

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Overview

PharmaCare is a Flask-based AI sales and customer service platform for a pharmacy-style business domain. The project combines a LangGraph agent, PostgreSQL business data, customer authentication, order operations, support workflows, an administration dashboard, and a document-grounded Retrieval-Augmented Generation pipeline. The system follows three primary principles: the LLM understands the request, selects actions, and writes natural responses; application code validates, authorizes, confirms, and controls execution; and tools and the database are the only sources of business facts and operation results. The demonstration catalog and products are fictional, and document-grounded health information is informational only and is not personalized medical advice.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Customers use the platform to browse product categories and search for products by text, category, price, and availability.
  • Customers use the platform to get product recommendations based on needs and budget.
  • Customers use the platform to check inventory for requested quantities.
  • Customers use the platform to register, authenticate, and manage their profiles and orders.
  • Customers use the platform to create and cancel orders with explicit confirmation.
  • Customers use the platform to submit support inquiries and request pharmacist contact.
  • Customers use the platform to get document-grounded answers with citations.
  • Administrators use the platform to monitor and manage products, categories, customers, orders, inquiries, pharmacist requests, conversations, tool executions, and RAG knowledge documents.

Features

Support AI assisted product discovery

Handle customer order workflows

Provide customer service capabilities

Offer administrative management tools

Answer using document grounded RAG

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