You will get Build Production-Ready RAG Knowledge Assistant for Your Organization
Rising Talent
Rising Talent
Project details
Most AI chatbots work great in a demo but fail on real corporate data—hallucinating facts, missing context, or leaking data. This project is different. Built on rigorous data engineering, this Production-Ready RAG Assistant turns your chaotic company files into a precise, secure internal oracle.
What sets this project apart:
True Context Awareness: Custom chunking strategies map complex tables, headers, and metadata so the AI actually understands your documents.
Accuracy-First Architecture: Advanced retrieval (hybrid search + re-ranking) minimizes hallucinations. The AI provides direct source citations; if the answer isn't there, it won't guess.
Enterprise Security: Your data remains strictly yours, built with tight guardrails to ensure zero leakage to public model training.
You get a scalable Python data pipeline, a high-performance vector store (Pinecone/Qdrant), and a clean UI/API ready to plug into Slack, Teams, or your internal tools. Turn your data into a permanent asset.
What sets this project apart:
True Context Awareness: Custom chunking strategies map complex tables, headers, and metadata so the AI actually understands your documents.
Accuracy-First Architecture: Advanced retrieval (hybrid search + re-ranking) minimizes hallucinations. The AI provides direct source citations; if the answer isn't there, it won't guess.
Enterprise Security: Your data remains strictly yours, built with tight guardrails to ensure zero leakage to public model training.
You get a scalable Python data pipeline, a high-performance vector store (Pinecone/Qdrant), and a clean UI/API ready to plug into Slack, Teams, or your internal tools. Turn your data into a permanent asset.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceAI Tools
Amazon SageMaker, Keras, MLflow, Open Neural Network Exchange, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
About Sourabh
AI & Data Engineer | RAG Assistants & Data Pipelines
Bengaluru, India - 7:22 am local time
I'm a data engineer specializing in building production-ready data infrastructure and AI-powered solutions for enterprises. My work helps organizations unlock the value of their data through robust pipelines, intelligent knowledge assistants, and proactive quality monitoring systems.
What I Build:
1. AI-Ready Data Foundation
Design and implement end-to-end data pipelines for analytics and AI applications
Build data lake layers with proper organization and governance
Create validation checks to ensure data integrity at every stage
Curate datasets optimized for machine learning and business intelligence
2. Enterprise Knowledge Assistants
Develop RAG (Retrieval-Augmented Generation) based assistants
Enable intelligent Q&A from internal documents, policies, SOPs, and reports
Reduce time spent searching for information across your organization
Build secure, scalable solutions that integrate with your existing systems
3. Data Quality & Anomaly Monitoring
Create automated systems to detect data issues and pipeline failures
Monitor schema changes, late files, and abnormal trends
Implement alerting mechanisms for proactive issue resolution
Ensure your data remains reliable and trustworthy
Why Clients Choose to Work With Me:
Specialized expertise – I focus on data engineering and AI infrastructure, not general development
Production-ready solutions – I build systems that work reliably in real-world environments
Clear communication – I explain technical concepts in ways that align with business goals
End-to-end ownership – From requirements to deployment, I handle the full lifecycle
My Ideal Projects:
Companies preparing data for AI/ML initiatives
Organizations needing to modernize their data infrastructure
Teams looking to build internal knowledge management tools
Businesses wanting to improve data quality and reliability
Let's Connect I'm happy to discuss your data challenges and outline how we can build the right foundation for your AI and analytics goals. Feel free to review my portfolio for examples of similar work, and don't hesitate to reach out with any questions.
Steps for completing your project
After purchasing the project, send requirements so Sourabh can start the project.
Delivery time starts when Sourabh receives requirements from you.
Sourabh works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery, Tech Stack Selection & Data Audit
We review your documents, map your exact business goals, choose the right LLM/Vector database based on your privacy needs, and establish a baseline list of test questions to measure AI accuracy.
Data Pipeline & Vector Database Setup
I build the Python ingestion pipeline to clean your files, apply smart chunking to protect context, generate vector embeddings, and index your entire document library securely into the vector database.