
We helped a leading Indian pharmaceutical company implement a Retrieval-Augmented Generation (RAG) solution for internal knowledge access. The custom RAG platform enables accurate, secure, and fast retrieval of regulatory, research, and operational documents while maintaining strict compliance and data security.
Industry: Pharmaceutical Manufacturing & Research
Location: India
Requirement: RAG Based Knowledge Retrieval System
The pharma client managed a large volume of internal documents across multiple departments including regulatory filings, SOPs, clinical research summaries, product documentation, and quality reports.
These issues slowed decision-making and increased operational overhead, particularly for regulatory and quality teams.
Imperym Labs RAG experts implemented a secure Retrieval-Augmented Generation (RAG) platform tailored for pharmaceutical workflows.
The client was able to easily manage, search and access relevant documents by using our custom platform built using RAG.
| Layer | Description |
|---|---|
| Model | OpenAI GPT-4 used for response generation |
| Embedding Model | OpenAI text-embedding models |
| Vector Database | Pinecone |
| Language / Runtime | Python 3.11 |
| Frameworks | LangChain for RAG orchestration |
| Document Processing | PDF parsing and text chunking pipelines |
| Deployment | Docker containers |
| Cloud Platform | AWS |
The RAG implementation delivered measurable improvements across productivity, accuracy, and compliance for the pharmaceutical client:
The client now confidently uses AI-assisted knowledge retrieval across teams with faster access to trusted information built on a scalable and secure foundation.