Avant Engram

Privacy-First Knowledge Management

Avant Engram is a full-stack Retrieval-Augmented Generation (RAG) application that enables users to upload, organize, and intelligently search their documents using semantic search and local AI models. Unlike cloud-based alternatives, Avant Engram runs entirely on local infrastructure with no external API dependencies, making it ideal for sensitive documents and cost-conscious deployments.

Private. Local. Intelligent.

Privacy-FirstAll AI processing runs locally. Your data never leaves your infrastructure.
Local InfrastructureNo cloud APIs. No subscription costs. Complete control over your deployment.
AI-PoweredSemantic search and conversational AI backed by locally-hosted language models.

Key Features

Document Management
Semantic Search
Conversational AI
Text-to-Speech

Multi-Format Document Support

PDF
DOCX
PPTX
XLSX
HTML
Markdown
PNG
JPG
TIFF
Plain Text
URLs

Architecture

RAG Pipeline
Upload → Parse → Chunk → Detect Language → Embed → Store in Vector Database
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Query Pipeline
Question → Embed → Vector Search → Context Assembly → LLM Generation → Cited Answer

Technical Highlights

Provider Abstraction

Clean provider interface supports multiple inference backends, enabling easy model switching.

Polyglot Microservices

Each service uses the most suitable language for its workload, from business logic to ML inference.

Background Processing

Distributed job queues enable async document processing without blocking the UI.

Monorepo Architecture

Unified workspace manages frontend, backend, worker, and shared packages with full type safety.

Your knowledge. Your infrastructure. Your control.

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