Build and deploy a fully private AI setup using LLaMA 3 70 B. It is completely self-hosted, has no third-party APIs, and is compliant with strict legal data policies. We’re using n8n to connect the entire thing.
This will be a full-blown internal system. Pretty much their own GPT4-tier legal analyst, trained to process internal case law, filings, and contracts, answer complex questions, and summarize docs, but with zero exposure to OpenAI or Anthropic.
They needed control, privacy, and automation
Tech stack we’ll be using:
LLaMA 3 70B (quantized + accelerated using vLLM)
Hosted privately on CoreWeave using dual A100 GPUs
ChromaDB is the vector store to handle document embedding and retrieval
LlamaIndex to power a RAG pipeline, enabling real-time Q&A over their case files
n8n as the glue to automate everything from doc uploads to Slack/email notifications
A simple but clean Streamlit-based web UI for their staff to chat with the model, ask questions, and get summaries instantly
All of it wrapped in a secure setup with JWT auth, IP access controls, and full audit logging
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