I will build local rag ai agents and transcription pipelines using python


Over deze dienst
Stop paying monthly API fees. Keep your data private.
I build secure, Local RAG (Retrieval-Augmented Generation) systems and AI automation pipelines that run entirely on your own hardware. Unlike generic GPT wrappers, my solutions use open-source LLMs (Llama 3, Mistral) and local transcription engines (Whisper) to ensure 100% Data Sovereignty.
What I Build:
- Local RAG Agents: Chat with documents (PDFs, TXT, CSVs) without external uploads.
- Transcription: Audio-to-text pipelines using faster-whisper with CUDA (30x faster than CPU).
- Custom APIs: Production-ready FastAPI backends in Docker containers.
- Secure Deployment: Integration with existing Auth/RBAC systems.
Tech Stack:
- Models: Ollama, Llama 3, Mistral, Whisper.
- DBs: ChromaDB, FAISS, PGVector.
- Backend: Python 3.12+, FastAPI.
- Infra: Docker Compose, Nvidia CUDA.
Why Me?
- Cybersecurity Focus: I am Google Certified. Security is built-in.
- SysAdmin Experience: I optimize for hardware and VRAM constraints.
- No Lock-in: You own the code and weights.
Note: Requires an Nvidia GPU (6GB+ VRAM) or high-performance CPU for local execution.
Maak kennis met Scott S.
- Afkomstig uitVerenigde Staten
- Lid sindssep 2025
- Gem. reactietijd12 uur
Talen
Engels, Spaans
Veelgestelde vragen
Does this require an OpenAI API Key?
No. These solutions run locally using open-source models like Llama 3 or Mistral. There are zero monthly subscription fees for the AI itself.
What hardware do I need?
For best performance, an Nvidia GPU (RTX 3060 or better) is recommended. However, I can optimize models to run on high-performance CPUs (Mac M-series or Intel i7/i9) if necessary.
Can I chat with my own PDFs?
Yes. The "Standard" and "Premium" packages include a RAG pipeline specifically designed to ingest and query your custom documents.
Is my data sent to the cloud?
No. The primary selling point of this Gig is privacy. All processing happens on the machine hosting the Docker container.
Do you provide the Source Code?
Yes. All packages include full Python source code and a docker-compose.yml file for easy deployment.

