LLM Hosting & Knowledge Graph App

@KarthikTechCon

Hi, I’m Karthik, a Full-Stack & ML Engineer with 10+ years of experience building LLM-powered internal tools, scalable APIs, and knowledge systems on AWS/GCP. I can take your cloud instance from empty shell to a production-ready LLM knowledge assistant with clear architecture and reproducible deployment. How I’ll deliver • Deploy & tune a suitable LLM (open-source or hosted) with concurrency support and low-latency streaming • Build a secure web chat app (FastAPI/Node backend + React/Vue frontend) • Session storage, conversation history, and SSO integration • Convert every dialogue turn into a living knowledge graph (Neo4j / Neptune) with documented schema • Graph is queryable via Cypher (or equivalent) for analytics Architecture & Ops • <2s streaming responses with async pipelines • Clean APIs and structured graph ingestion • Terraform / CloudFormation / Ansible for full stack recreation • Dockerised services with environment-based configs Deliverables • Running web app with streaming chat • LLM + graph DB fully integrated • Infra scripts + README (model specs, env vars, data sources) I’ve built RAG systems, internal AI assistants, and graph-backed knowledge platforms for teams at scale. Ready to start immediately and deliver a clean, extensible setup.

@abdf2010

Hello there, I reviewed your project LLM Hosting & Knowledge Graph App and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Linux, NoSQL Couch & Mongo and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@himanshus642

As a seasoned full-stack developer with over five years of experience, I'll make sure your LLM hosting and knowledge graph app is not only fully functional, but also has the architecture and scalability to support your team's concurrent queries seamlessly. My expertise extends to deploying and fine-tuning large-scale language models, making me well-suited to optimize your existing cloud server. I am comfortable working with AWS and GCP and can use this insight to select the most suitable tools for your project. Building lightweight, browser-based conversation interfaces that integrate backend technologies like Python/FastAPI or Node/Express with front-end frameworks like React/Vue is a core part of my skill set. Authentication with SSO also isn't an issue for me, so you can trust that I will steadfastly hold on to the privacy of your data. Lastly, my general proficiency in several databases and cloud technologies (Neptune, Neo4j) will ensure the transformation of every conversation into an organized and continuously updated knowledge graph for future analytics. With me, you don't just hire a freelancer; you get a partner invested in exceeding the acceptance criteria outlined--two-second streaming answers, queryable Cypher data, reproducible deployments using Terraform/Ansible/CloudFormation and comprehensive documentation. By combining my technical skills ito the exact needs of this project, I'm confident we can develop an effective knowledge assistant together