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RAG

GOVERNMENT

Knowledge Intelligence RAG

Intelligent chat assistance over internal knowledgebase - deep insights, semantic search, and contextual answers.

SPEED IMPROVEMENT

75%

DELIVERY TIMELINE

3 Months

REGION

India

CLIENT PROFILE

Industry

Government – Policy

Location

India

Year

2025

TECHNOLOGY STACK

  • Vector DB
  • LLMs
  • Custom OCR

     

The Challenge

Teams struggled to locate accurate information and make sense of deeply interlinked data across a growing knowledge base of highly sensitive private documents, often poorly scanned copies, leading to inefficiencies and inconsistent responses.

"Hard to find info and difficult to make sense of interlinked data in large scannned documents."

The Solution

We developed a custom RAG system augmented by our custom OCR engine. The system extracts text from PDFs, excel files, doc files and images, scanned or otherwise, then it analyzes the documents, breaks them into meaningful chunks, embeds them, and adds them to a highly sophisticated index. We also developed  a chat interface where users can ask any kind of question based on the indexed data and it retrieves precise answers ranging from simple information extraction to deep insights.

Text Extraction and Intelligent Chunking

Extraction of text and structured information from scanned documents including tables and handwritten texts as well as information in images. The extracted text split into context-aware chunks with high-quality embeddings.

Contextual Answering

Prompt Engineering + On-Premise open source LLM applied to the indexed data for AI responses grounded strictly in source documents with document name and page number level traceability.

Secure Architecture

Private network deployment with zero internet exposure with audit trails and system monitoring dashboards for full observability and control.

Chat Interface

ChatGPT style chat interface with contextual conversations and conversation history. Auto expiring very old conversations for auto cleanup and data security.

Full Impact Analysis

1

75% reduction in time spent searching and reviewing documents.

2

Improved accuracy and consistency of internal responses.

3

Increased confidence through source-backed AI answers.

4

Enabled faster policy analysis and compliance checks.

FUTURE ROADMAP

Expand capabilities to multilingual documents and query analytics.

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