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Fiverr Pro
English
$
USD
I will fix your rag chatbot hallucinations, retrieval accuracy and citations
Shahzad Arif
About this gig
Is your RAG chatbot hallucinating, retrieving irrelevant documents, or generating incorrect answers and fake citations?
I help businesses fix unreliable AI chatbots by improving RAG retrieval accuracy, LLM responses, and source grounding so users receive more trustworthy, verifiable answers.
What I Can Fix:
- RAG chatbot hallucinations and inaccurate AI responses
- Poor document chunking, embeddings and vector search
- Retrieval accuracy, relevance and context quality
- Missing, incorrect or fabricated source citations
- LangChain, LlamaIndex and RAG pipeline issues
- Pinecone, ChromaDB, Qdrant and pgvector retrieval
- Prompt engineering, reranking and hybrid search
- LLM evaluation, chatbot testing and RAG optimization
Why Choose Me?
With 6+ years of software development experience, I focus on identifying root causes, measuring improvements and building reliable AI solutions.
Stop guessing why your chatbot fails. Message me with your RAG issue, and let's identify the problem and fix it!
Get to know Shahzad Arif
Shahzad Arif
AI SaaS, AI Agents, MCP, RAG and Automation Expert
- FromPakistan
- Member sinceOct 2026
Languages
English, German, Spanish, French, Italian
I'm M. Shahzad Arif, founder of Komyosys, where we build AI systems that solve real business problems—not just demos.
I help businesses turn AI-built apps into production-ready SaaS, develop AI agents and custom MCP servers, improve RAG chatbot accuracy, and automate workflows with human approval. I also build WhatsApp AI agents connected to CRMs, databases, and APIs, and audit SaaS architecture, security, and launch readiness.
My focus is simple: reliable, secure, maintainable solutions that save time and make your business work smarter.
Have a challenge? Let's find the right solution.
FAQ
Can you fix my RAG chatbot hallucinations and inaccurate AI responses?
Yes! I diagnose hallucinations, irrelevant retrieval, weak context grounding & inaccurate responses in existing RAG chatbots. I identify the underlying causes & implement scoped fixes using retrieval tuning, prompt improvements, or citation validation. No RAG system can guarantee zero hallucinations
Can you improve my RAG chatbot retrieval accuracy and search relevance?
Absolutely! I can analyze document chunking, embeddings, vector search, top-k retrieval, metadata filtering, and reranking to improve retrieval relevance. When applicable, I use before-and-after evaluation questions to measure the impact of changes.
Can you fix missing, incorrect, or fabricated citations in my RAG chatbot?
Yes. I can investigate broken citation mappings, missing source metadata, unsupported answers, and fabricated references. Depending on your package, I can improve source attribution and citation validation so responses are better grounded in retrieved documents.
Which RAG frameworks, LLMs, and vector databases do you support?
I work with RAG systems using LangChain, LlamaIndex, OpenAI GPT, Claude, Gemini, Pinecone, ChromaDB, Qdrant, and PostgreSQL with pgvector. I can also assess compatible custom RAG pipelines. Please share your technology stack before ordering.
Can you fix an existing RAG chatbot without rebuilding it from scratch?
Yes! My service focuses on identifying and repairing problems in your existing RAG pipeline. I aim to preserve working features, integrations, and application architecture while making scoped improvements. A full rebuild is not included unless separately agreed.
How do you evaluate whether my RAG chatbot has improved?
I use representative test questions and assess retrieval relevance, answer grounding, citation correctness, and failure cases. For implementation packages, I compare results before and after the changes, explain the findings, and document any remaining limitations.
Can you optimize document chunking, embeddings, and vector database retrieval?
Yes! I can evaluate chunk sizes, overlap, embedding quality, metadata, similarity search, and retrieval settings. Where appropriate, I can implement scoped improvements such as reranking or hybrid search. Major reindexing and infrastructure changes may require a custom offer.
Which Fiverr package should I choose for my RAG chatbot?
Choose Basic ($40) for diagnosis and a root-cause report, Standard ($120) to diagnose and fix one scoped RAG issue with testing, or Premium ($350) for up to three scoped issues, broader optimization, and up to 50 evaluation questions. Contact me for larger systems.
What do you need from me to start fixing my RAG chatbot?
Please share your chatbot's technology stack, a description of the problem, sample incorrect answers, expected responses, and relevant source documents. Repository access, logs, and non-sensitive configuration details may also be useful. Do not share passwords or secret API keys in chat.
Will you provide source code, testing results, and documentation?
Basic includes a diagnostic report and recommended fix plan, without source-code modifications. Standard includes agreed code fixes and before-and-after testing. Premium includes up to three scoped fixes, a broader evaluation report, and documentation of the implemented changes.
