AIHealthcareSaaS
BeBalanced
Intelligent medical assistant chatbot with persistent memory.
BeBalanced
Details are restricted under non-disclosure agreements.
Year
2025
Client
CCRIPT Agency
Role
Senior Full Stack AI Developer
Status
Proprietary
Overview
The brief
Built an intelligent medical assistant chatbot using LangChain and a RAG pipeline backed by Postgres. Enabled users to describe health symptoms, receive guidance, and track medications. Patient test results and health histories are stored and retrieved contextually, supporting accurate, personalized responses across sessions.
The Challenge
Medical platforms often lack session-to-session continuity. Patients are forced to describe their medical history, chronic symptoms, and prescription schedules from scratch on every interaction.
Features
What we shipped
- 01PostgreSQL RAG pipeline for medical database query matching
- 02Contextual session-to-session memory persistence
- 03Patient health history and test result semantic retrieval
- 04Medication tracking and personalized guidance
Tech Stack
Next.jsNode.jsPostgreSQLLangChainRAGPython
Impact & Performance
<150ms
Search Latency
98.4%
Response Accuracy
RAG & LangChain
Pipeline
Next
See all work →