You will get a production-ready RAG Knowledge Base connected to your business data
Top Rated
Project details
Your business documents hold the answers your team needs every day -- but finding them takes too long. This catalog delivers a production-ready RAG (Retrieval-Augmented Generation) Knowledge Base that connects GPT-4 or Claude directly to your PDFs, databases, wikis, and internal docs. Your team gets instant, accurate, source-cited answers through a chat interface -- no hallucinations, no endless searching.
Every package includes semantic vector search across all your data sources, an LLM-powered chat interface with source citations, integration with Slack, web portals, CRM, or REST API, vector database setup (Pinecone, Weaviate, or pgvector), automated re-ingestion pipelines for new documents, role-based access controls, and full deployment on AWS, Azure, or GCP -- with documentation and a handover session included.
Built on LangChain and LlamaIndex with proven, production-grade architecture. We have delivered RAG systems for finance, healthcare administration, and SaaS businesses -- cutting research time from hours to seconds and reducing support ticket volume by over 40%. This is not a prototype. Your system goes live, fully deployed, on day one.
Every package includes semantic vector search across all your data sources, an LLM-powered chat interface with source citations, integration with Slack, web portals, CRM, or REST API, vector database setup (Pinecone, Weaviate, or pgvector), automated re-ingestion pipelines for new documents, role-based access controls, and full deployment on AWS, Azure, or GCP -- with documentation and a handover session included.
Built on LangChain and LlamaIndex with proven, production-grade architecture. We have delivered RAG systems for finance, healthcare administration, and SaaS businesses -- cutting research time from hours to seconds and reducing support ticket volume by over 40%. This is not a prototype. Your system goes live, fully deployed, on day one.
AI Algorithms
Large Language ModelAI Applications
Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,499
|
Standard
$2,999
|
Advanced
$4,999
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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KS
Kenneth S.
Aug 12, 2025
MVC App Audit and Further Development on Azure
Kunal and his team have been very helpful and patient during this project. Kunal speaks excellent English which made the communication a breeze. In the end we came across an industry specific SaaS solution that met our needs and it did not make sense to continue to develop a custom solution.
Oa
Obaid a.
Jun 9, 2025
LMS projects
MC
Matthew C.
Apr 29, 2024
Front End Engineer (Angular/Electron)
Kunal is an exceptional developer and we were lucky to have him on our team. He made short work of our problems and was able to resolve things much sooner than expected.
JE
Jonathan E.
Apr 18, 2024
Microsoft Blazor Full Stack Developer
JE
Jonathan E.
Apr 18, 2024
Microsoft MAUI Full Stack Developer
About Kunal
AI App Developer & SaaS Architect | LLM, RAG, .NET, React
100%
Job Success
Noida, India - 5:02 am local time
I'm a full-stack developer with 14+ years of experience and 21,000+ hours on Upwork. I specialize in two things: AI product development (LLM-powered apps, RAG pipelines, AI agents, GPT/OpenAI integrations) and SaaS application architecture using .NET, React/Angular, and cloud infrastructure.
What sets my work apart is AI-assisted development — I leverage Cursor, Claude, and modern dev tooling to ship production-quality code significantly faster without sacrificing architecture or reliability.
What I build:
• AI agents, chatbots & RAG systems (LangChain, OpenAI, Claude, Vector DBs)
• SaaS platforms & enterprise-grade applications
• API-first & microservices architecture
• Full-stack development (React, Angular, Next.js, .NET Core)
• Legacy modernization (.NET Framework → .NET Core / cloud)
I hold IBM certifications in RAG and Agentic AI (2026) and have delivered solutions across fintech, healthcare, real estate, and e-learning — always aligned to business outcomes.
If you're building an AI product or modernizing a platform, let's talk.
— Kunal
Steps for completing your project
After purchasing the project, send requirements so Kunal can start the project.
Delivery time starts when Kunal receives requirements from you.
Kunal works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Audit
Review all data sources, define knowledge domains, identify gaps, and align on the key questions the AI must answer.
Data Ingestion & Vectorization
Parse, clean, and chunk your documents, then generate embeddings and load them into a vector database (Pinecone, Weaviate, or pgvector).