Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a rag chatbot for your company documents
Antonio F
About this gig
Transform your company's documents, website, PDFs, SOPs, manuals, spreadsheets, or internal knowledge into a reliable AI assistant. I build a custom RAG chatbot or AI-powered knowledge base so your team or customers can ask questions and get accurate answers based on your own data.
Ideal for:
- Customer service knowledge bases
- Internal assistants for businesses
- Document search systems
- Research assistants
- Sales support bots
- Training and onboarding assistants
What I can build:
- Document ingestion pipeline
- Embeddings and vector database
- Semantic or hybrid search
- Integration with LLMs such as OpenAI, Claude, DeepSeek, or similar
- RAG-powered response generation
- Source citations when needed
- Lightweight web chat interface
- Cloud deployment
- Documentation and source code
My focus is on building practical systems, with the goal of delivering an AI assistant your team can actually use.
Send me a message before placing an order so I can understand your documents, use case, integrations, and deployment needs.
Get to know Antonio F
Antonio F
I build AI agents, RAG chatbots and automation systems
- FromBrazil
- Member sinceDec 2024
- Avg. response time1 day
Languages
English
I'm Antonio V. Franco, an AI consultant focused on building agents, RAG systems, knowledge assistants, and automation solutions for businesses. I help companies transform scattered documents, workflows, and operational knowledge into intelligent systems that boost efficiency, improve decision-making, strengthen customer service, and elevate internal productivity.
My work is serious, efficient, and high quality. It combines AI strategy, LLM engineering, RAG architecture, workflow automation, API integrations, vector databases, and cloud deployment to deliver practical AI systems.
FAQ
Do I need to message you before ordering?
Yes. RAG projects depend on your documents, data volume, use case, integrations and deployment needs. Please message me first so I can confirm the right package or create a custom offer.
What is a RAG chatbot?
A RAG chatbot retrieves relevant information from your documents or knowledge base and uses an LLM to generate answers based on that context. It is ideal for company documents, support knowledge bases and internal assistants.
Can the chatbot answer based on my PDFs or website?
Yes. I can build a chatbot using PDFs, DOCX files, website pages, Markdown, TXT files, spreadsheets or other data sources depending on the package.
Will the chatbot cite sources?
Yes. Source citations can be included so users can see which document or section the answer came from. This is recommended for business and internal knowledge use cases.
Which AI models can you use?
I can work with OpenAI, Claude, Gemini, DeepSeek, Qwen, OpenRouter or other compatible LLMs depending on your needs, budget and preferred stack.
Do you provide deployment?
Yes. Deployment is included in the Standard and Premium packages. Basic includes a simple setup unless deployment is added as an extra.
Can you process scanned PDFs?
Yes, but scanned documents usually require OCR. OCR can be included in Premium or added as an extra depending on document quality and volume.
Is this fine-tuning?
No. Most company knowledge assistants do not need fine-tuning. RAG lets the chatbot retrieve information from your documents and answer based on that retrieved context.
Will I own the source code?
Yes. Source code is included unless we agree on a different delivery format before the order starts.
Can you integrate the chatbot with my existing app or website?
Yes. I can integrate the chatbot with a website, backend, API or internal tool depending on your stack and selected package.
