I'm interested in your fantastic idea. I'm a full stack developer and n8n automation specialist.
Can we discuss the requirements of your system in details.
#Seeking n8n + SQL + Vector DB Developer for Verification-First RAG System
stoic spear
crimson marsh
Hi,
I've just saw your detail carefully.
I think the verified/unverified split plus replayable state transitions is where things usually collapse under scale. Curious how you’re preventing vector retrieval from leaking unverified records—hard constraints or post-retrieval filtering?
neon bone
Hello
I am AI & full stack engineer specializing in workflow automation, LLM integration, RAG, AI detection, image and voice AI, with strong track record of the real-world implementations.
I have built automated pipelines and task orchestration systems using Dspy, OpenAI APIs, and custom agents.
One example is the support automation system that connects Slack, Notion, and internal APIs to LLM, reducing response times by 60%. I’ve also designed and deployed advanced RAG pipelines, combining vector database and graph database, hybrid search, and custom retrieval logic to deliver accurate, context-aware responses in production environments.
For the AI content detection, I developed the tools for moderation platform using stylometric analysis, embedding similarity, and the fine-tuned transformers to identify GPT-generated text with high precision. In image AI, I created tagging and moderation pipeline with CLIP and YOLOv8 on AWS Lambda and S3, classifying and filtering thousands of images daily for an e-commerce platform. In voice AI, I built a voice cloning and transcription service using Whisper and Tacotron2, enabling personalized voice assistants through ASR, TTS, and CRM integration.
I focus on delivering scalable, production-ready AI systems, covering the entire lifecycle from model selection and fine-tuning to backend integration and deployment.
If you’re interested in working together or need support, feel free to reach out anytime.
Thanks.