AI IconRAG Development Sub-Services

Unlock Your Private
Data with LLMs

PragetX specializes in developing Retrieval-Augmented Generation (RAG) solutions that bridge the gap between powerful Large Language Models (LLMs) and your specific, proprietary data.

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Our RAG Development Sub-Services

Provide robust Retrieval Augmented Generation systems that connect LLMs to your unique data for enhanced accuracy and context

Knowledge Integration
Knowledge Integration

Connect LLMs to your unique datasets, including documents and databases, using advanced retrieval techniques to ensure information accuracy and seamless integration with LLM applications.

  • Advanced Retrieval
  • Data Accuracy
  • Seamless Integration
Document Q&A
Document Q&A

Enable natural language questions on documents to receive precise, content-based answers while leveraging advanced retrieval techniques for accuracy and relevance.

  • Natural Queries
  • Precise Answers
  • Easy Integration
Search Enhancement
Search Enhancement

Augment keyword search with semantic understanding to deliver contextual information discovery by applying advanced retrieval methods ensuring accuracy and relevance.

  • Semantic Search
  • Context Discovery
  • Enhanced Accuracy
Chatbot Grounding
Chatbot Grounding

Improve chatbot reliability by ensuring responses are based on verified company information through advanced retrieval techniques for accurate and context-aware interactions.

  • Verified Responses
  • Accurate Info
  • Chat Integration
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Our RAG Implementation Process

Our systematic approach ensures robust and effective RAG systems tailored to your data

1
Strategic Data Foundation
Strategic Data Foundation

We meticulously identify your key knowledge sources and define the optimal structure for your RAG system.

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Collaborate to identify key knowledge sources (documents, DBs, APIs)

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Define the scope and structure of the knowledge base

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Outline data governance and update strategies

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Ensure alignment with your specific business objectives

2
Data Ingestion & Preparation
Data Ingestion & Preparation

We extract, clean, and prepare your diverse data formats, making them ready for intelligent processing and embedding.

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Extract content from PDFs, HTML, databases, and more

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Utilize OCR for image-based text extraction

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Clean, chunk, and preprocess text for embedding

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Leverage tools like unstructured.io for complex files

3
Embedding & Vectorization
Embedding & Vectorization

We select optimal embedding models and transform your data into searchable vectors, stored efficiently for rapid access.

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Choose embedding models (e.g., Sentence-BERT, OpenAI, custom)

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Generate high-quality vector embeddings for data chunks

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Configure vector databases (Pinecone, FAISS, etc.)

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Index vectors for efficient similarity search

4
Retrieval & LLM Orchestration
Retrieval & LLM Orchestration

We design intelligent retrieval strategies and integrate them seamlessly with LLMs, orchestrating the end-to-end RAG pipeline.

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Define search, filtering, and re-ranking strategies

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Craft prompts for accurate, context-based synthesis

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Integrate retrieval with chosen LLM (e.g., GPT-4, Claude)

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Build pipeline with LangChain, LlamaIndex, etc.

5
Rigorous Validation & Iteration
Rigorous Validation & Iteration

We thoroughly test and evaluate the system’s performance, iteratively refining components to achieve accuracy and relevance.

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Test against benchmarks and curated queries

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Evaluate factual accuracy and relevance

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Refine chunking, embeddings, and prompting strategies

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Assess robustness, speed, and scalability

6
Deployment & Continuous Improvement
Deployment & Continuous Improvement

We deploy your RAG system and establish ongoing monitoring to ensure sustained performance and future enhancements.

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Deploy to your preferred environment

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Monitor performance, drift, and usage metrics

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Plan for knowledge base updates and retraining

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Enable continuous optimization and scaling

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Tools and Technologies We Use

We employ a comprehensive suite of tools for building high-performance RAG systems

Orchestration Frameworks
Langchain
Langchain
Llamaindex
Llamaindex
Backend Frameworks
FastAPI
FastAPI
Flask
Flask
Programming Languages
Python
Python
Cloud Platforms
AWS
AWS
GCP
GCP
Azure
Azure
Embedding Models
Sentence Transformers
Sentence Transformers
OpenAI Embeddings
OpenAI Embeddings
Cohere Embeddings
Cohere Embeddings
Hugging Face models
Hugging Face models
LLMs
OpenAI
OpenAI
Anthropic
Anthropic
Google Gemini
Google Gemini
Open-Source Models
Open-Source Models
Vector Databases
Pinecone
Pinecone
Chroma DB
Chroma DB
FAISS
FAISS
Weaviate
Weaviate
Milvus
Milvus
Elasticsearch
Elasticsearch
Data Processing & Extraction
Pandas
Pandas
unstructured.io
unstructured.io
PyPDF2
PyPDF2
BeautifulSoup
BeautifulSoup
Scrapy
Scrapy
Tesseract (OCR)
Tesseract (OCR)

Need a Hand in Custom Software Development

We have a track record in helping brands like yours to scale faster

Why Choose PragetX for RAG Development?

1
Unlock Proprietary Data
Unlock Proprietary Data

Securely leverage your internal documents and data with LLMs without exposing sensitive information during model training.

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2
Enhanced Accuracy & Reduced Hallucinations
Enhanced Accuracy & Reduced Hallucinations

Ground LLM responses in factual, verifiable information from your knowledge base to significantly improve reliability.

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3
Contextual Relevance
Contextual Relevance

Deliver answers precisely aligned with user queries, using insights grounded in your organization’s unique data.

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4
Up-to-Date Information
Up-to-Date Information

Keep your AI current by updating your knowledge base without the need to retrain the entire model.

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5
Cost-Effective
Cost-Effective

Reduce costs compared to fine-tuning large-scale LLMs, while maintaining high performance and relevance.

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6
Expertise in Data Pipelines
Expertise in Data Pipelines

Leverage our experience in building robust ingestion, processing, and vectorization pipelines essential for scalable RAG solutions.

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7
End-to-End Service
End-to-End Service

From data collection to model deployment, we provide full-stack RAG integration with streamlined management.

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8
Future-Proof Innovation
Future-Proof Innovation

Embrace the latest AI and RAG advancements with scalable, adaptable solutions built on cutting-edge frameworks.

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Our RAG Projects & Case Studies

Explore how our AI solutions have transformed businesses across industries, delivering measurable results and competitive advantages.

Website Assistant Using RAG and LLMs
IndustryWeb AutomationCustomer SupportGenerative AI

Website Assistant Using RAG and LLMs

Built a chatbot leveraging Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses using website content. Combined web scraping, vector databases, and LLMs to create a smart assistant for enhanced site navigation.

  • Integrated web scraping, FAISS vector DB, and LLMs for contextual answers.
  • Used LangChain for modular chatbot orchestration and scalability.
  • Enabled real-time user support and boosted site engagement.
  • Delivered natural, conversational UX for navigating complex content.
View Full Case Study
AI Agent Platform with Voice and RAG-Powered Memory
IndustryConversational AIVirtual AgentsEnterprise Software

AI Agent Platform with Voice and RAG-Powered Memory

Developed a multilingual, voice-based AI agent platform combining LLMs, speech technology, and memory-driven dialogue powered by RAG. Designed for long-form, personalized conversations with dynamic persona control.

  • Integrated STT/TTS, voice cloning, and multilingual NLP.
  • Used RAG and vector search for context-rich memory recall.
  • Scalable platform with real-time optimization and API access.
  • Enabled dynamic user context and persona management.
View Full Case Study
RAG-Based AI Presentation Generator
IndustryProductivity ToolsContent AutomationEnterprise Software

RAG-Based AI Presentation Generator

Delivered a serverless AI tool that creates tailored presentations using user inputs and RAG-enhanced knowledge understanding. Supports brand guidelines and audience-specific layouts with minimal effort.

  • Auto-generates presentations using LLMs, LangChain, and Chroma DB.
  • Applies audience profiling for content personalization.
  • Uses AWS serverless stack for performance and scalability.
  • Ensures consistent visuals and optimized layouts in real-time.
View Full Case Study
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Industries Transforming with AI

Discover how artificial intelligence is revolutionizing operations and creating new opportunities across various sectors.

Customer Service & Support
Sales & Lead Generation
Marketing & Content Creation
E-commerce

Wall of Trust!!!

Our work speaks for itself. Take a look why our clients love team PragetX. They are not just our customers, but they are part of one large extended family.

comma
PragetX has provided expertise and professional project management on high level.Design, Build, Implementation, UAT done as requested.Issue Fixing after UAT was done very fast.The team delivered exceeding quality, on time with perfect communication skills.We are planning further projects with the company.
Michael Kohlert
Michael KohlertMichael Kohlert
Founder & CEO - The Integrated
comma
Highly recommend. I think their strong point is communication. They do follow you in your project and that is priceless. We hired this agency for a redesign of a corporate site in europe. They work on budget and deliver on time. Thanks
Carlos Rosales
Carlos RosalesCarlos Rosales
Co-Founder - Zdc Studio
comma
We came across Pragtex through one of our Devloper first to fix some IOS related Bugs but over a period of time based on our interaction with the team we found them very skilled, proactive, professional, agile, and open to discussing issues to find the right solutions economically.
Neeraj Gala
Neeraj GalaNeeraj Gala
Co-Founder & CEO - UrNest AirBnB of Cloud Kitchen
comma
Pragetx Softwares PVT LTD successfully completed the project.They had an excellent workflow, which helped them deliver the project on time.Overall, the client was impressed with their team's solidarity.
Rohit Kumar
Rohit KumarRohit Kumar
Founder & CEO - VR Cube Technologies Pvt Ltd
comma
The task I gave them was done precisely with all of my requirements and they did a fantastic job. They also kept me updated on every step of my work process. The team and the head of the team was very humble and friendly and they helped me in better understanding the scope of the modules than what I anticipated. I would personally recommend them further to the people who are looking for similar kind of services.
Kunal Choudhary
Kunal ChoudharyKunal Choudhary
Managing Director - PetFind
comma
I worked with multiple people at PragetX and found them to be professional and flexible on requirements.I would definitely recommend them for startups who are looking at getting things done quickly in a cost effective manner.
Viraj Damani
Viraj DamaniViraj Damani
Founder & CEO - Tru Performance Inc
comma
The team is very cooperative and delivers good quality work on time.They are receptive to feedback.Overall it was a very good experience working with them.Would surely reccommend them to other organisations.
Jyotirmayi Baral
Jyotirmayi BaralJyotirmayi Baral
Managing Executive - Kreeti Technologis PVT LTD
comma
Impressed the client by how they proactively asked for design inputs and other questions on how to move ahead, enabling them to deliver quality outputs.They also facilitated an excellent workflow between both teams. Overall, the client had a good experience.
Ujjal Hafila
Ujjal HafilaUjjal Hafila
UI/UX Designer - Wooqer
comma
Team PragetX is helping us with creatives for our gourmet ice- cream business in Hyderabad.PragetX team has assigned dedicated resources to work on our project and we can directly interact with their team members for faster and accurate delivery of creatives.Among all the social media marketing services companies we found that PragetX is very competitive and pocket friendly.Hawte Madhapur team will highly recommend PragetX who is out looking for Social Media services.
Jyotsna Bajaj
Jyotsna BajajJyotsna Bajaj
Founder & CEO - Healthy Hearth Enterprises
comma
Team was professional and understood the requirements well. They were responsive and deliver the app as I desired. Surely recommended to you.
Alex Nee
Alex NeeAlex Nee
Founder & CEO - Sun Teame Pte Ltd