Build a Custom RAG AI Knowledge Assistant by Syed Alam Shah BukhariBuild a Custom RAG AI Knowledge Assistant by Syed Alam Shah Bukhari
Build a Custom RAG AI Knowledge AssistantSyed Alam Shah Bukhari
Cover image for Build a Custom RAG AI Knowledge Assistant

Build AI systems that can actually understand your business data.

I build custom LLM and Retrieval-Augmented Generation (RAG) applications that connect AI models with your documents, knowledge bases, and business data.
What I can build:
• Document Q&A and AI knowledge assistants • RAG pipelines for PDFs, websites, and internal documentation • Semantic search and vector search systems • LLM-powered customer support and internal tools • AI agents and multi-step workflows • Document processing and information extraction • API-based AI applications with FastAPI
My typical stack:
Python • FastAPI • LangChain • Gemini/OpenAI • ChromaDB • pgvector • PostgreSQL • Embeddings • Docker
I focus on reliable retrieval, grounded responses, clean backend architecture, and systems that can be extended into production.
If you have a business workflow or knowledge problem you want to solve with AI, send me the details and I'll help you determine the right architecture.
Contact for pricing
Duration1 week
Tags
AI Agents
FastAPI
LangChain
Python
AI Engineer
Generative AI
LLM
Vector Database
Service provided by
Syed Alam Shah Bukhari Hyderabad, Pakistan
Build a Custom RAG AI Knowledge AssistantSyed Alam Shah Bukhari
Contact for pricing
Duration1 week
Tags
AI Agents
FastAPI
LangChain
Python
AI Engineer
Generative AI
LLM
Vector Database
Cover image for Build a Custom RAG AI Knowledge Assistant

Build AI systems that can actually understand your business data.

I build custom LLM and Retrieval-Augmented Generation (RAG) applications that connect AI models with your documents, knowledge bases, and business data.
What I can build:
• Document Q&A and AI knowledge assistants • RAG pipelines for PDFs, websites, and internal documentation • Semantic search and vector search systems • LLM-powered customer support and internal tools • AI agents and multi-step workflows • Document processing and information extraction • API-based AI applications with FastAPI
My typical stack:
Python • FastAPI • LangChain • Gemini/OpenAI • ChromaDB • pgvector • PostgreSQL • Embeddings • Docker
I focus on reliable retrieval, grounded responses, clean backend architecture, and systems that can be extended into production.
If you have a business workflow or knowledge problem you want to solve with AI, send me the details and I'll help you determine the right architecture.
Contact for pricing