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Secure Offline RAG System

Privacy-first document chat using fully local LLMs. Keeps sensitive business data secure while leveraging AI.

Python LLM RAG ChromaDB SQLite
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Problem

Sensitive documents were blocked from cloud AI tools.

The client needed natural language search across internal files, but privacy and compliance constraints made public APIs non-viable.

Solution

Fully local retrieval and response pipeline.

Ollama

Local model inference with no outbound API dependency.

ChromaDB

Local vector storage for semantic retrieval.

Python Orchestration

Ingestion, chunking, indexing, and answer pipeline automation.

Impact

Secure answers, fast retrieval, zero cloud leakage.

0
Cloud data exposure
<2s
Response latency
100%
Offline capable

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