Technical Architecture

System Architecture

AnswerVault uses a modern, scalable architecture designed for enterprise deployments.

Interface Layer

Web UI
CLI
Teams App
Slack App
REST API
↓

RAG AI Agent

Query Parser
Context Retrieval
Response Generator
↓

Knowledge Graph & Vector Store

PostgreSQL Graph DB
Vector Database
Semantic Search
↓

Ingestion Pipeline

Document Parser
Chunking Engine
Embedding Generator
Graph Builder
↓

Data Source Connectors

SharePoint
Google Drive
Confluence

Core Technologies

🧠

RAG Architecture

Retrieval Augmented Generation combines the power of semantic search with large language models to provide accurate, grounded answers.

  • Query understanding and intent detection
  • Semantic similarity search
  • Context-aware response generation
  • Source citation and traceability
  • Multi-document synthesis
πŸ•ΈοΈ

Knowledge Graph

Documents, entities, and relationships are stored in a PostgreSQL-backed graph database, enabling complex queries and relationship traversal.

  • Document relationship mapping
  • Entity extraction and linking
  • Hierarchical knowledge structures
  • Cross-document connections
  • Path-based reasoning
🎯

Vector Database

High-dimensional embeddings enable semantic search beyond keyword matching, finding conceptually similar content.

  • Dense vector embeddings
  • Approximate nearest neighbor search
  • Multi-modal embeddings support
  • Hybrid search (vector + keyword)
  • Real-time indexing
πŸ”Œ

Flexible Connectors

OAuth-based secure connections to your existing document repositories with automatic synchronization.

  • SharePoint Online integration
  • Google Drive API
  • Atlassian Confluence
  • More connectors on our roadmap
πŸ€–

AI Built In

No API keys or LLM subscriptions required. We provide the AI so you can focus on your knowledge, not infrastructure.

  • AI included in every plan
  • Always up to date with latest models
  • No token costs to manage
  • Data residency options on higher tiers
  • Enterprise private deployment available
⚑

Processing Pipeline

Sophisticated document ingestion pipeline extracts maximum value from your content.

  • Multi-format support (PDF, Word, etc.)
  • Intelligent chunking strategies
  • Metadata extraction
  • Incremental updates
  • Quality validation

Security & Compliance

Enterprise-grade security is built into every layer of our architecture. Your data remains in your control.

πŸ” End-to-End Encryption

All data in transit is encrypted using TLS 1.3. Data at rest is encrypted using AES-256.

πŸ”‘ OAuth 2.0 Authentication

Secure delegated access to your document repositories without storing passwords.

πŸ‘₯ Role-Based Access Control

Fine-grained permissions ensure users only access authorized documents.

πŸ“ Data Residency

Business and Enterprise tiers support data residency requirements with regional deployments.

πŸ“Š Audit Logging

Complete audit trail of all access, queries, and system changes.

πŸ›‘οΈ GDPR & ISO 27001

GDPR compliant. Information security practices aligned with ISO 27001 standards.

πŸ”’ Zero Trust Architecture

Every request is authenticated and authorized, regardless of origin.

🏒 Private Deployment

Enterprise customers can deploy on-premises or in their own cloud environment.

Security Technologies

TLS 1.3 OAuth 2.0 JWT AES-256 RBAC mTLS SAML 2.0 SCIM

Technology Stack

Backend & APIs

Node.js TypeScript Express REST API GraphQL

Databases

PostgreSQL Redis

AI & LLMs

GPT-4 GPT-5 text-embedding-3

Infrastructure

AWS (primary) Azure (Teams App) Docker ECS Fargate Terraform

Ready to explore the technology?

Get started with AnswerVault or dive deeper into our documentation