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Fiverr Pro
English
$
USD
I will build a custom rag chatbot for your docs and business data
Hilal A.
About this gig
Do you need an AI chatbot that answers questions using your own documents or business knowledge?
I will build a custom Retrieval-Augmented Generation application that retrieves relevant information from your approved data sources before generating an answer.
Depending on the selected package, the solution may include:
- PDF, TXT and Markdown processing
- Text chunking and embeddings
- Semantic retrieval
- Qdrant, ChromaDB or FAISS
- Source references
- FastAPI endpoints
- Streamlit interface
- Docker configuration
- Retrieval testing and RAG evaluation
- Technical documentation
I work with Python, LangChain, LangGraph, Qdrant, ChromaDB, FAISS, FastAPI, Streamlit, Ollama and compatible LLM APIs.
No RAG system can be guaranteed to be completely hallucination-free. I can add source references, insufficient-context behavior and evaluation to improve reliability.
API usage, cloud hosting and third-party subscriptions are not included.
Please contact me before ordering so I can review your documents, expected behavior and target environment.
Get to know Hilal A.
Hilal A.
AI Engineer for RAG AI Agents and MLOps
- FromTurkey
- Member sinceNov 2024
- Avg. response time1 hour
Languages
English, Turkish
Hi, I'm Hilal, an AI/ML Engineer specializing in RAG, AI agents, LLM applications and MLOps. I build reliable AI systems with Python, FastAPI, LangGraph, LangChain, Qdrant, Docker and Kubernetes. I can help with RAG pipelines, multi-agent workflows, LLM integrations, evaluation, observability, API development, deployment and data pipeline optimization. I focus on maintainable code, clear documentation and practical solutions that work beyond the prototype stage. Message me to discuss your project.
FAQ
What is a RAG chatbot?
A RAG chatbot retrieves relevant information from your own knowledge source and provides that context to a language model before generating an answer.
Can the chatbot show its sources?
Yes. Standard and Premium can include document names, references or relevant source excerpts.
Which file formats can you use?
Common formats include PDF, TXT, Markdown and structured text. Please send sample files before ordering if the format is unusual.
Does the price include LLM API costs?
No. External model APIs, hosting services and paid databases are paid by the client.
Can you deploy the application?
Standard and Premium include deployment-ready Docker configuration. Cloud deployment should be agreed separately based on the target platform.
Can you use a local model?
Yes. Ollama or another compatible local setup may be used when it is suitable for the project and available infrastructure.
Will the chatbot be completely hallucination-free?
No LLM system can be guaranteed to be completely free of hallucinations. I can add grounding controls, source references and evaluation to reduce and monitor the risk.
