I will build a custom rag chatbot for your documents and knowledge base


About this gig
Build a dependable AI chatbot that answers from your documents, PDFs, website content, or knowledge base.
I will create a Retrieval-Augmented Generation (RAG) workflow that retrieves relevant information before the model responds, helping improve accuracy and provide source-aware answers.
I can deliver:
Document or PDF ingestion and cleaning
Chunking, embeddings, and vector search
Chatbot connected to your private knowledge base
OpenAI, Claude, Gemini, or open-source model integration
Pinecone, Qdrant, Chroma, FAISS, PostgreSQL/pgvector, or Supabase
FastAPI endpoints and database integration
Metadata filters, citations, testing, and setup documentation
You receive maintainable Python source code and a clear handoff. Standard and Premium packages support more complete, production-oriented workflows. Exact document volume, integrations, interface, and deployment must be agreed before ordering.
Please message me with your data sources, expected users, preferred model, current stack, and hosting requirements so I can confirm the right package.
Get to know Nimra Zahid
AI Engineer for RAG Chatbots, LLM Integrations and Python APIs
- FromPakistan
- Member sinceApr 2016
- Last delivery1 year
Languages
English
My Portfolio
Other Software Development Services I Offer
FAQ
What information do you need before starting?
Please provide your project requirements, preferred AI model or API, expected workflow, and any existing backend or database details. For RAG systems, document samples and retrieval requirements are also helpful.
Which document formats and data sources can you use?
I can work with PDFs, Word files, text, CSV data, website content, databases, and API-accessible sources. Please message me first if your files are scanned, unusually large, or require OCR.
Can the chatbot provide citations or source references?
Yes. I can configure responses with source references or citations when the underlying documents and retrieval design support it. Please include this requirement before ordering.
Will I receive the source code?
Yes. All packages include documented source code and project files unless discussed otherwise before the project starts.
Can you deploy the RAG chatbot?
Deployment support is available depending on the package, hosting platform, and infrastructure requirements. Please tell me your preferred platform before ordering so I can confirm the scope.

