RAG Knowledge Base Agent DevelopmentMuhammad Shoukat
RAG Knowledge Base Agent Development
Build AI agents that understand your private knowledge and answer with relevant context.
I develop custom RAG-powered AI agents that can retrieve information from your documents, databases, websites, and private knowledge sources before generating responses.
What I Build
RAG Solution Use Case Document AI Agent Ask questions across PDFs, DOCX & documents Company Knowledge Agent Internal policies, procedures & business knowledge Customer Support Agent Answer questions using your product knowledge Research Agent Search, retrieve & analyze large knowledge sources Website Knowledge Agent Retrieve information from website content Database AI Agent Query structured business data with AI
Core Features
✓ Document Processing — PDFs, documents & structured data
✓ Semantic Search — Find relevant information by meaning
✓ Vector Search — Efficient retrieval from large knowledge bases
✓ RAG Pipeline — Retrieve relevant context before generating answers
✓ Source-Aware Responses — Connect answers to retrieved knowledge
✓ Conversation Memory — Maintain useful context across interactions
✓ Tool & API Integration — Connect agents to external systems
✓ Custom AI Backend — Secure, scalable production architecture
Technology Stack
Python • FastAPI • LangChain • LangGraph • LLM APIs • PostgreSQL • Vector Databases • Redis • Docker • REST APIs
Development Process
Data Sources → Processing → Embeddings → Vector Storage → Retrieval → LLM → Agent → Deployment
I focus on retrieval quality, accuracy, security, scalability, and maintainable architecture rather than simply connecting a chatbot to documents.
Have a Knowledge Base?
Provide your documents, data sources, or business knowledge — I'll build an AI agent that can retrieve and use that information intelligently.
FAQs
Example work
Starting at$1,800
Duration1 week
Tags
LangChain
Node.js
Python
AI Agent Developer
AI Developer
Knowledge Base
LLM Development
RAG Development
vector database
Service provided by
Muhammad Shoukat Karachi, Pakistan
- 1
- Followers
RAG Knowledge Base Agent DevelopmentMuhammad Shoukat
Starting at$1,800
Duration1 week
Tags
LangChain
Node.js
Python
AI Agent Developer
AI Developer
Knowledge Base
LLM Development
RAG Development
vector database
RAG Knowledge Base Agent Development
Build AI agents that understand your private knowledge and answer with relevant context.
I develop custom RAG-powered AI agents that can retrieve information from your documents, databases, websites, and private knowledge sources before generating responses.
What I Build
RAG Solution Use Case Document AI Agent Ask questions across PDFs, DOCX & documents Company Knowledge Agent Internal policies, procedures & business knowledge Customer Support Agent Answer questions using your product knowledge Research Agent Search, retrieve & analyze large knowledge sources Website Knowledge Agent Retrieve information from website content Database AI Agent Query structured business data with AI
Core Features
✓ Document Processing — PDFs, documents & structured data
✓ Semantic Search — Find relevant information by meaning
✓ Vector Search — Efficient retrieval from large knowledge bases
✓ RAG Pipeline — Retrieve relevant context before generating answers
✓ Source-Aware Responses — Connect answers to retrieved knowledge
✓ Conversation Memory — Maintain useful context across interactions
✓ Tool & API Integration — Connect agents to external systems
✓ Custom AI Backend — Secure, scalable production architecture
Technology Stack
Python • FastAPI • LangChain • LangGraph • LLM APIs • PostgreSQL • Vector Databases • Redis • Docker • REST APIs
Development Process
Data Sources → Processing → Embeddings → Vector Storage → Retrieval → LLM → Agent → Deployment
I focus on retrieval quality, accuracy, security, scalability, and maintainable architecture rather than simply connecting a chatbot to documents.
Have a Knowledge Base?
Provide your documents, data sources, or business knowledge — I'll build an AI agent that can retrieve and use that information intelligently.
FAQs
Example work
$1,800