I will 11labs vapi ghl ai receptionist retell livekit rag agent ollama, llama vector db


About this gig
Need a secure, self-hosted AI agent that runs on your own server without exposing your data?
I build private AI automation systems & open-source AI chatbot agents powered by Ollama, LLaMA, Mistral, Gemini Flash, and advanced RAG architecture. These systems give you full control, privacy, and performance running locally or on your VPS.
Whether you need a RAG application, AI chatbot, AI receptionist, or workflow automation system, I design production-ready solutions aligned to your business.
What Your AI Agent Can Do:
- Analyze PDFs, DOCX, CSV, TXT, and large datasets
- Multi-document search using vector databases (ChromaDB, FAISS, Milvus, Pinecone)
- Build a private knowledge base AI chatbot assistant (RAG-powered)
- AI receptionist for calls, chat, support, bookings or internal support
- Create Streamlit apps or custom web dashboards interface
- Automate workflows using n8n, APIs, and webhooks
- Real-time AI integration with CRM, ERP, and internal systems
- Multi-user system / Role-based access, authentication, logging, and encrypted storage
- Deploy on AWS, GCP, Hostinger, Hetzner, Hostinger, private VPS
- API-ready system with secure API key management
Message me to design your secure AI system.
Get to know Ayanda E
AI Chatbot and Automation Expert, WhatsApp, Voice, PrivateGPT, n8n
- FromNigeria
- Member sinceJul 2025
- Avg. response time1 hour
Languages
English, Czech, Romanian, Greek, Spanish, German, French, Italian, Arabic, Danish
FAQ
Technologies & Stack i use:
• Ollama / LLaMA 3 / Mistral / GLM / Kimi / Open-source LLMs • LangChain / LangGraph / LlamaIndex • Vector DBs: Pinecone, ChromaDB, FAISS, Milvus • Python / FastAPI / Node.js / Docker • AI integrations: ChatGPT, n8n, Vapi, APIs, ElevenLabs, Twilio for voice AI agents
Can this AI run fully private without using OpenAI or external APIs?
Yes. I can build a fully self-hosted AI system using open-source LLMs (Ollama, LLaMA, Mistral) that runs on your VPS or local server. Your data stays private and never leaves your environment.
What is RAG and why is it important for my AI system?
RAG (Retrieval-Augmented Generation) allows your AI to search and use your own data (PDFs, docs, databases) instead of generic responses. This makes your AI more accurate, context-aware, and useful for real business workflows.
Can the AI integrate with my existing tools (CRM, APIs, apps)?
Yes. I can integrate your AI agent with CRMs, Google Sheets, APIs, n8n workflows, and internal systems to automate data syncing, triggers, and business processes.
Do I need technical knowledge to manage the system after delivery?
No. I provide a user-friendly interface (Streamlit or web app), documentation, and guidance so you can easily manage your AI system. Optional support is also available.
What do you need from me to get started?
I’ll need your use case, data sources (documents or APIs), preferred deployment (VPS/local), and integration requirements. If you’re unsure, I can help you define the best architecture.

