I will build enterprise rag systems, ai vector databases and knowledge base apps


About this gig
Are you looking to turn your private documents, PDFs, databases, or enterprise data into an intelligent AI Knowledge Base? I will build production-grade, secure RAG (Retrieval-Augmented Generation) applications tailored to your business needs.
Whether you need a semantic search engine, an automated legal/document auditing tool, or a multi-tenant enterprise RAG SaaS, I architect high-accuracy systems that eliminate hallucinations.
What I Build:
High-Precision RAG Pipelines (Hybrid Search, Semantic Chunking, Reranking)
Vector Database Integrations (Qdrant, Pinecone, ChromaDB, PGVector)
Support for PDFs, CSVs, Docs, Web Scraping, & Enterprise Databases
Modern UI with Next.js & FastAPI Python Backend
Enterprise Features: Multi-tenancy, Role-Based Access, Citation Tracking
Tech Stack:
Frameworks: Python, FastAPI, LangChain, LlamaIndex, Next.js, TypeScript
Vector DBs: Pinecone, Qdrant, Weaviate, ChromaDB
Models: OpenAI, Claude 3.5, Llama 3, DeepSeek, Custom Embeddings
Why Choose Me?
Clean architecture, zero hallucination focus, full source code delivery, and complete production-ready setup.
Please send a message with your document/data requirements before placing an order!
Get to know mariyamismail
Full Stack Software Engineer and AI Specialist
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
Question: What document formats and databases do you support for RAG?
Answer: I support PDFs, CSVs, DOCX, TXT, JSON, SQL databases, and web URLs. I integrate them into vector databases like Pinecone, Qdrant, ChromaDB, or PGVector.
Question: How do you ensure data security and zero hallucinations?
Answer: I implement precise chunking strategies, semantic hybrid search, dynamic reranking, and citation tracking so the AI only answers based on your verified enterprise context.
Question: Will I get the complete source code and setup guidance?
Yes, all packages include 100% full source code delivery along with comprehensive documentation for local deployment or cloud hosting.
