Volten AI
OmniChannel AI Assistant SaaS with Truth Management & Hybrid RAG Engine.
Volten AI is an enterprise omnichannel virtual assistant SaaS platform designed to automate customer support across WhatsApp, Instagram, and Facebook with 99%+ accuracy using a hybrid RAG engine and real-time human agent takeover.
Businesses face high support costs and slow response times on messaging channels, while generic AI chatbots frequently hallucinate and lack reliable grounding in official company documentation.
THE TECHNICAL SOLUTIONA distributed microservices architecture combining high-throughput Go ingestion, PostgreSQL hybrid search (pgvector + GIN), and a RAG pipeline grounded in a strict Truth Management hierarchy with real-time WebSocket human agent handover.
Impact & Key Metrics
< 100ms
Meta Webhook ACK Latency (Go Gateway)
99%+
Response Accuracy without Hallucinations
-65%
Reduction in Customer Support Overhead
< 2s
End-to-End RAG Inference Latency
Full Stack Specifications
Frontend & UI
- Next.js 16 (App Router)
- React 19
- TypeScript
- TailwindCSS v4
- TanStack Query v5
- Socket.io Client
- Zod v4
- Shadcn UI
Backend & Microservices
- Golang (Go)
- Node.js / Bun
- NestJS (BFF)
- Meta Graph API
- OpenAI API
- Anthropic Claude API
Database & Caching
- PostgreSQL (pgvector)
- GIN Full-Text Search
- HNSW Vector Indexing
- Redis
- RabbitMQ
DevOps & Tooling
- Docker
- Docker Compose
- Nginx / Caddy
- VPS Deployment
- Tenant Isolation Architecture
Third-Party APIs
- WhatsApp Business API
- Instagram DMs
- Facebook Messenger
- Stripe
- Firecrawl Web Parser
Key Architecture Decisions
Hybrid Vector & Lexical RAG Engine with Truth Management (pgvector + GIN)
Combination of HNSW vector cosine search (OpenAI embeddings) and PostgreSQL tsvector keyword indexing reranked by source priority hierarchy (FAQ 1.0 > PDF 0.7 > Web Crawl 0.4) to eliminate AI hallucinations.
High-Concurrency Go Webhook Gateway for Meta Cloud APIs
Dedicated Go microservice providing sub-millisecond HMAC signature verification and instant HTTP 200 ACK, pushing raw payloads to RabbitMQ for zero-loss asynchronous processing.
Real-Time Human Agent Handover & Neural AI Briefings
Socket.io WebSocket architecture triggering human escalation when AI confidence drops, automatically generating a concise AI context briefing for human support agents.
Multi-Tenant Namespace Isolation & Transparent Resource Auditing
Strict scalar tenant_id pre-filtering at database and vector index level, coupled with detailed real-time telemetry for inference token consumption and Stripe metered billing.
Core Features Breakdown
Multi-Source Knowledge Library (Hybrid RAG)
Ingestion and vectorization of PDFs, technical docs, and websites to construct a secure private knowledge base for semantic retrieval.
OmniChannel Unified Inbox (WhatsApp, Instagram, FB)
Centralized dashboard to monitor, inspect, and respond to customer interactions across all Meta messaging channels in real time.
Intelligent Human Handover & AI Neural Briefings
Seamless conversation transfer from AI to human operators with auto-generated contextual conversation summaries.
Knowledge Integrity & Semantic Conflict Audit
Background engine scanning for contradictory instructions or out-of-date policies within ingested company documentation.
Real-Time Testing Ground & Latency Terminal
Sandbox environment enabling AI managers to test prompt reasoning, vector retrieval accuracy, and response latency before live deployment.
Metered Usage & Transparent Resource Billing
Detailed telemetry and billing breakdown auditing inference tokens, vector storage, and messaging throughput via Stripe.