LLM Engine Deployment
Impact100% on-prem solution
Data Privacy100%
Response Time<1 sec
InfrastructureOn-Prem
Overview
Implemented an on-premises LLM solution for an enterprise client requiring data privacy and local processing. The system enables technicians to query technical documentation through a conversational interface without sending data to external servers.
The Challenge
The client needed AI-powered document search capabilities but had strict data privacy requirements that prevented use of cloud-based LLM services.
The Solution
Deployed Mistral LLM locally using Ollama on NVIDIA A2000 GPUs, built a custom PDF parser for document extraction, and implemented vector similarity search using Neo4j graph database for efficient retrieval.
Key Results
Zero data leaves the premises
Sub-second query response times
Deployed chatbot using Chainlit for ease of use
Tech Stack
OllamaMistral LLMPyMuPDFNeo4jChainlitPythonNVIDIA A2000