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Fiverr Pro
English
$
USD
I will build a rag chatbot for your documents and knowledge base
Haseeb Shahid
About this gig
Need an AI chatbot that answers questions from your own documents, website, policies, manuals, or internal knowledge?
I build RAG chatbots and AI knowledge bases using OpenAI or Claude, Python, FastAPI, LangChain, React, Next.js, vector databases, and secure APIs.
This service can help you create:
PDF and document chatbots
Internal employee knowledge assistants
Customer support and FAQ bots
Policy, manual, and training assistants
Website knowledge-base chatbots
Product and technical documentation search
AI chat with source citations
Admin document upload and management
Unlike a generic ChatGPT widget, the chatbot is designed to retrieve answers from your approved content and show relevant sources where required.
With 8+ years of software engineering experience, I focus on secure integrations, accurate retrieval, clean interfaces, maintainable code, and production-ready deployment.
Please message me before ordering with your documents, required features, expected users, and integration details so I can confirm the correct package.
Get to know Haseeb Shahid
Haseeb Shahid
AI Automation, RAG and Full Stack Engineer
- FromPakistan
- Member sinceJan 2024
Languages
English
AI Automation and Full-Stack Engineer with 8+ years of experience building production web applications, SaaS platforms, backend APIs and business automation systems.
I help businesses build RAG chatbots, document and invoice processing workflows, AI integrations, ecommerce automation, dashboards and custom internal tools.
My core stack includes Python, FastAPI, Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, AWS, Docker and Shopify APIs.
I focus on reliable integrations, secure backend logic, structured AI outputs and maintainable production systems rather than basic AI demos.
My Portfolio
FAQ
What is a RAG chatbot?
A RAG chatbot retrieves relevant information from your approved documents or knowledge sources before generating an answer. This helps the chatbot respond using your business content instead of relying only on general AI knowledge.
Which document types can the chatbot use?
The chatbot can work with formats such as PDF, DOCX, TXT, CSV, website pages, FAQs, product documentation, policies, manuals, and selected database or API content. The exact formats depend on the package and project scope.
Will the chatbot show sources for its answers?
Yes. Source references or citations can be included so users can see which document or content section supported the answer.
Can you integrate the chatbot into my existing website or SaaS app?
Yes. I can integrate the chatbot into an existing React, Next.js, Node.js, Python, custom website, SaaS platform, client portal, or internal application after reviewing the current system.
Can the chatbot use private internal documents?
Yes. Private knowledge bases can be designed with authentication, access controls, approved storage, and restricted content visibility. Please describe your privacy and security requirements before ordering.
Does this Gig include AI model fine-tuning?
No. This Gig focuses on RAG and knowledge retrieval. Fine-tuning is a separate process and is usually not required for a chatbot that answers from documents. It can be assessed separately when genuinely needed.
Are OpenAI or other AI API costs included?
No. AI provider, vector database, hosting, and other third-party usage charges are paid by the buyer. I will explain the required services before development begins.
Can I add or update documents after delivery?
Yes. The Premium package can include an admin document management interface. For Basic or Standard packages, document updates can be handled through a defined update process or a custom offer.
Will I receive the source code?
Yes. Source code is included with all packages, along with basic setup instructions according to the selected package.
Should I message you before ordering?
Yes. Please share your use case, document types, approximate data volume, users, integrations, hosting preference, and required features so I can confirm the correct package.
