I will build a custom rag chatbot for your documents

F
f_mangiwa
F
f_mangiwa
Faizal Mangiwa

About this gig

Need a chatbot that can answer questions from your own documents? I can build a custom Retrieval-Augmented Generation (RAG) system that connects your documents to an LLM and provides relevant, context-aware answers.


I can build solutions for:

  • PDF and document knowledge bases
  • RAG chatbots and AI assistants
  • Semantic and hybrid search
  • Document chunking, embeddings, and retrieval
  • LLM integration with OpenAI, Gemini, Groq, or local models
  • Vector databases such as ChromaDB
  • Reranking and retrieval evaluation
  • Gradio/Streamlit interfaces
  • Secure access and production-oriented architecture


I focus on reliable retrieval, practical architecture, evaluation, and cost-conscious implementation.


I can also build RAG systems for structured business data and operational knowledge, with evidence retrieval, evaluation, API integration, and production-oriented workflows.


Please message me before ordering so we can confirm your documents, preferred AI model, integrations, and scope.

Get to know Faizal Mangiwa

Faizal Mangiwa

AI Engineer

  • FromIndonesia
  • Member sinceSep 2026
  • Avg. response time1 hour
  • Languages

    Indonesian, English
I’m an AI Engineer focused on building practical AI systems and LLM-powered applications. I specialize in RAG, AI agents, multi-model orchestration, LoRA/QLoRA fine-tuning, model evaluation, and intelligent automation. I build Python-based solutions using OpenAI, Gemini, Groq, Hugging Face, PyTorch, ChromaDB, and Gradio/Streamlit. My projects include security-focused RAG, multi-agent workflows, fine-tuning, AI data extraction, and evaluation pipelines.

My Portfolio