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Fiverr Pro
English
$
USD
I will develop custom ai agent chatbot with rag and custom knowledge base
Idris Waleeyat
About this gig
NEED A CUSTOM AI SYSTEM THAT UNDERSTANDS YOUR BUSINESS DATA AND DELIVER INTELLIGENT, USEFUL RESPONSES?
We build AI LLM integrations, RAG systems, AI-powered assistants and intelligent knowledge systems designed around your specific business requirements.
Our agency can connect OpenAI, Google Gemini or Anthropic Claude to your application, workflow or existing business system. For businesses with large amounts of information, we can build Retrieval-Augmented Generation (RAG) solutions that allow AI to retrieve relevant information from documents, databases and knowledge bases before generating responses.
Depending on your requirements, your system can include:
- AI LLM integration
- RAG knowledge systems
- Custom conversational journeys
- CRM and database integration
- AI agents and business workflows
- User authentication
- Multi-language support
- API and webhook integrations
- Source code and deployment support
Whether you need an AI knowledge assistant, RAG application, customer-support system, internal AI tool or custom LLM integration, our team can build a practical solution around your requirements.
Message us with your idea and let's discuss the right AI solution for your business.
Get to know Idris Waleeyat
Idris Waleeyat
RAG AI knowledge base Intelligent agent WhatsApp Chatbot AI Customer's Support
- FromUnited Kingdom
- Member sinceAug 2025
- Avg. response time1 hour
Languages
English, Arabic, French
We are an AI automation and intelligent systems agency helping businesses turn repetitive processes, data and knowledge into practical AI solutions. We build custom AI agents, RAG knowledge systems, AI workflows, intelligent assistants, CRM automation, WhatsApp and Telegram systems, voice AI, API integrations and n8n workflows. We start with the business problem, understand existing processes, and build the right technology around the desired outcome. Our goal is to make AI practical, efficient and valuable for every business.
My Portfolio
FAQ
Q1. What is a RAG AI knowledge system?
RAG stands for Retrieval-Augmented Generation. It allows an AI system to retrieve relevant information from approved knowledge sources before generating a response. This is useful when you want AI to work with your own documents, website content, knowledge base or business data.
Q2. What can you train the RAG system on?
Depending on the project, the system can work with sources such as PDFs, documents, websites, FAQs, help centers, product information, SOPs, databases and other approved business knowledge sources.
Q3. Can the AI answer questions from my business documents?
Yes. A RAG knowledge system can retrieve relevant information from your provided sources and use it to generate responses based on that information.
Q4. Can the RAG system do more than answer questions?
Yes. Depending on the architecture, an AI agent can connect to tools, APIs, databases or automation workflows and perform actions such as retrieving information, triggering workflows, qualifying enquiries or updating supported systems.
Q5. Can you use Gemini, OpenAI or other AI models?
Yes. The appropriate AI model depends on the project requirements. Depending on the system, we can work with models and platforms such as Gemini, OpenAI and other compatible LLM technologies.
Q6. Can you integrate the RAG system into my website or application?
Yes. Depending on your requirements, the system can be designed for websites, applications, internal tools or other supported environments.
Q7. I don't know whether I need RAG, an AI agent or a chatbot. Can you help?
Yes. Send a description of what you want the system to accomplish, what information it needs to use and where you want it to operate. We can help determine the appropriate architecture before development.
