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Building a Production-Grade RAG Platform: An AI Data Assistant for a Global CPG Leader 

Building a Production-Grade RAG Platform: An AI Data Assistant for a Global CPG Leader

Client

A Leading Global Consumer Packaged Goods (CPG) Leader

Project Type

AI/ML Development & Enterprise Software

Industry

Manufacturing, Consumer Goods

Year

2024 & Ongoing

At a Glance

Challenges

The client's most valuable asset- decades of institutional knowledge - was trapped across millions of documents in various formats and silos. Their internal teams faced several critical challenges:

Vast and Siloed Data

Critical R&D, chemical formulation, and market research data was inaccessible and disconnected.

Inefficient Knowledge Transfer

Onboarding new employees and retaining the knowledge of departing experts was a slow, ad-hoc process.

Maintaining Data Confidentiality

The client needed to provide broad access to knowledge while ensuring sensitive data remained secure and strictly internal.

Static & Inflexible Data Formats

Users were unable to easily synthesize information from multiple documents into a single, editable report.

Our Solutions

Instead of a traditional keyword search engine, we architected a sophisticated Retrieval-Augmented Generation (RAG) platform. This approach goes beyond simply finding documents; it understands context, retrieves relevant passages, and generates new, synthesized answers.

Retrieval

The system performs dense semantic retrieval over PDFs, PPTs, images, and video transcripts using Azure AI Search.

Augmentation

Retrieved passages and page/slide snippets are injected into a prompt to ground the Large Language Model (LLM), preventing hallucinations and ensuring answers are based on the company's own data.

Generation

The LLM composes precise answers and summaries with page-level citations, powering a “content cart” for creating new, editable outputs.

Guardrails

The platform is secured with SSO and role-based filtering at retrieval time, ensuring users only see data they are authorized to access.

Our Strategy

Building a Production-Grade RAG Platform: An AI Data Assistant for a Global CPG Leader
Building-a-Production-Grade-RAG-Platform-An-AI-Data-Assistant-for-a-Global-CPG-Leader

Our Tech Mavens

👷‍♂️

Business Analyst

👩‍🎨👨‍🎨

Designers

👨‍💻👩‍💻👩‍💻👩‍💻

Developers

🕵️🕵️

QA Specialists

👨‍💼

Project Manager

Technology Stack

python_backend
Fast_API
postgre_sql_icn
mangodb
azure

Outcomes 

Accelerated R&D and Innovation

By providing researchers with instant access to decades of formulation and testing data, the platform significantly shortens the R&D cycle for new products.

Enhanced Regulatory Compliance

The assistant empowers the compliance team to find specific safety and regulatory documents in seconds, ensuring faster and more accurate adherence to global standards.

Significant Productivity Gains

The system has transformed a multi-hour search process into a matter of seconds, freeing up hundreds of employee hours per month for high-value strategic work.

Preservation of Institutional Knowledge

The platform has unlocked and preserved decades of invaluable, previously inaccessible data, turning a passive archive into an active, strategic asset.

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