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I will build a rag chatbot that answers from knowledge base
Amine B
About this gig
Do you have PDFs, reports, manuals, contracts, policies, or internal documents that you want to search and understand faster?
I will build a custom RAG chatbot that answers questions based on your documents using AI and retrieval-augmented generation.
This is useful for:
- Chat with PDFs or documents
- Internal knowledge base assistants
- Company policy or training assistants
- Product manual chatbots
- Legal, business, or research document Q&A
- Customer support knowledge bases
- Document search with source references
The chatbot can retrieve relevant information from your files and generate answers based on that context. Depending on your package, I can include document chunking, source references, metadata filtering, database/vector database integration, multilingual support, authentication, API integration, or a simple web interface.
I can work with Python, FastAPI, LangGraph, OpenAI API, Claude API, vector databases, PostgreSQL, Redis, Elasticsearch, Docker, and Streamlit.
You will receive clean source code, documentation, and clear instructions.
Please message me before ordering so I can review your documents and recommend the best setup.
Get to know Amine B
Amine B
Work less, Achieve more, Let AI handle the heavy lifting !
- FromCanada
- Member sinceAug 2024
- Avg. response time1 hour
- Last delivery1 year
Languages
English, Arabic, French
Hi,
I’m Amine, an AI Engineer building custom AI agents, RAG chatbots, and automation systems for businesses.
I help companies connect AI to documents, APIs, databases, calendars, WhatsApp, and dashboards using Python, FastAPI, LangGraph, Docker, PostgreSQL, Redis, Elasticsearch, and Streamlit.
I’ve built production-oriented systems with multi-agent workflows, document processing, tool calling, real-time dashboards, and cost-optimized LLM workflows.
My goal is simple: turn your AI idea into a reliable working product that saves time and improves operations.
My Portfolio
FAQ
What is a RAG chatbot ?
A RAG chatbot is an AI assistant that retrieves information from your documents before answering, so responses are based on your own files instead of only general AI knowledge.
Can it answer from PDFs ?
Yes. I can build a chatbot that answers from PDFs, reports, manuals, policies, contracts, or other structured documents.
Can you add source references ?
Yes. Source references can be included so users can see which document or section was used for the answer.
Can the chatbot avoid answering outside my documents ?
Yes. I can design the chatbot to stay focused on your documents and say when the information is not available.
Do you include source code ?
Yes, source code is included in all packages.
Can you deploy the chatbot ?
Deployment guidance is included in higher packages. Full deployment depends on your hosting setup and can be discussed before ordering.
