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I will develop ai document chatbot using rag and openai chat gpt, gemini claude ai app
Akorede Ai
About this gig
HELLO AWESOME BUYER
I will develop an AI document chatbot using RAG with ChatGPT, Gemini & Claude AI
Are you looking to build a smart document chatbot that can read your files and answer questions like a human expert? You're in the right place.
I specialize in building production-ready RAG (Retrieval-Augmented Generation) chatbots powered by the top AI models OpenAI ChatGPT, Google Gemini, Anthropic Claude, DeepSeek, and open-source LLaMA models.
What I build for you:
- RAG pipeline using LangChain / LlamaIndex + vector databases (Pinecone, Chroma, FAISS)
- Document ingestion: PDF, DOCX, CSV, Excel, TXT, URLs, Notion, and more
- Multi-LLM switching let users choose their preferred AI model
- WhatsApp & Telegram bot integration via Twilio / Telegram Bot API
- AI agents with tool calling, web search, and memory
- Custom frontend (React / Next.js / Streamlit) or API-only backend
- Deployment on AWS, GCP, Vercel, or your server
Whether you're building a customer support bot, internal knowledge base assistant, legal document analyzer, or e-learning tutor I deliver clean, documented, scalable code with full handoff.
Get to know Akorede Ai
Akorede Ai
AI Automation Specialist Clawbot and OpenClaw Expert
- FromNigeria
- Member sinceMar 2026
- Avg. response time1 hour
- Last delivery1 month
Languages
English, Spanish, French, Afar
Hi, I’m Akorede — an AI automation specialist focused on helping businesses save time, increase efficiency, and grow faster.
I work with tools like Clawbot and OpenClaw to build smart, reliable systems that automate tasks and improve workflows.
What I Can Do:
Set up and configure Clawbot & OpenClaw systems
Build AI automation workflows for businesses
Create chatbot integrations for websites and apps
Set up automated lead generation systems
Fix and optimize existing AI setups
Integrate AI tools with platforms like WhatsApp, Slack, and web apps
Let’s build something powerful for your busin
FAQ
What exactly is a RAG chatbot and how is it different from a regular AI chatbot?
A regular AI chatbot (like a plain ChatGPT integration) only knows what it was trained on. A RAG (Retrieval-Augmented Generation) chatbot is connected to your own documents. When a user asks a question, the system searches your uploaded files for the most relevant passages and feeds them to the AI
Which AI models can you integrate — and can I switch between them?
I can integrate any combination of: OpenAI GPT-4Google GeminiAnthropic ClaudeDeepSeekLLaMA (open source). In the Standard and Premium packages, I build a model-switcher in the UI so users can pick their preferred model in real time. You can also lock it to one model if you prefer entirely up to you
What file types and data sources can the chatbot read?
Out of the box I support PDF, DOCX, TXT, CSV, Excel (.xlsx), PowerPoint (.pptx), web URLs (website scraping), and Notion pages. For the Premium package I can also connect to Google Drive, Confluence, SharePoint, or any database with an API. If you have a custom format, just message me — most things
Do I need to provide my own API keys?
Yes — API keys for OpenAI, Google Gemini, or Anthropic are billed directly to your own accounts, so you only pay for what you use. I do not resell API credits. I'll guide you step-by-step through creating and securing your keys, and I'll never ask for more permissions than the project needs.
What do you need from me to get started?
After you place the order I'll send a short requirements form asking for: (1) your documents or a link to your knowledge base, (2) which LLMs you want, (3) preferred UI style (existing branding colors/logo if any), and (4) deployment target (e.g. your website, a cloud server, or WhatsApp/Telegram).
Will you deploy the chatbot for me, or do I get the source code?
Both. You get 100% of the source code with full documentation, and I also handle deployment to your chosen platform — AWS, Google Cloud, Vercel, Render, Railway, or your own VPS. I'll do a live demo walkthrough via video call before handoff so you understand how everything works. Cloud hosting costs
What happens if I want changes after delivery?
Every package includes revision rounds (1 for Basic, 2 for Standard, 3 for Premium). I also offer a paid ongoing maintenance/support plan if you want someone to manage updates, add new documents, or upgrade models as new versions release. Just ask and I'll send a custom offer.
How accurate are the answers? Will the bot make things up?
RAG dramatically reduces hallucinations compared to a plain LLM because the model is constrained to your documents. I also configure the system prompt to instruct the model to say "I don't know" when the answer isn't in the knowledge base, rather than guessing. For critical applications
Can the chatbot remember previous messages in a conversation?
Yes — from the Standard package onward I implement conversation memory, so the bot maintains context throughout a session (e.g. a user can say "expand on that last point" and the bot understands). For multi-session memory (remembering across separate conversations), I integrate a persistent memory
Can I add the chatbot to my website, WhatsApp, and Telegram?
Yes. Website embedding is available in all packages (a floating chat widget or full-page chat UI). WhatsApp integration (via Twilio or Meta's Cloud API) and Telegram bot deployment are included in the Premium package, or available as add-ons for Standard. Both channels share the same RAG backend.
