AI Builder

The Core of Our Intelligence Platform

RAG Technology

Retrieval-Augmented Generation combines the power of large language models with real-time access to your business data, creating contextually aware AI that understands your specific domain.

How RAG Powers Our AI Builder

1

Document Ingestion & Vectorization

Your business documents, policies, and data are processed using state-of-the-art embedding models. RAG AI instantly transforms this information into vector representations.

2

Semantic Search & Retrieval

When queries arrive, the RAG-powered architecture creates semantically search across your databases. Pinecone, Weaviate, ChromaDB to retrieve the most relevant content with sub-100ms latency.

3

Context-Aware Generation

Retrieved content is injected into prompts for GPT-4, Claude, or custom models, ensuring responses are grounded in your specific business knowledge and policies.

RAG Architecture Components

Enterprise-Ready
Vector Databases
Pinecone, Weaviate, ChromaDB for scalable similarity search
Embedding Models
OpenAI Ada-002, Sentence-BERT, E5 for low-cost translation
Retrieval Engine
Hybrid search combining semantic and keyword matching
Generation Models
GPT-4, Claude-3, Llama-2 with secure compute pipelines

Reduced Hallucinations

RAG grounds AI responses in factual data, reducing false information by up to 90% compared to pure generative models.

Real-time Knowledge

Access live business data without retraining models, enabling responses based on the latest information.

Domain Expertise

Specialized knowledge for your industry without expensive model fine-tuning or extensive retraining processes.

Intelligent Features

Advanced AI capabilities that transform how businesses operate and make decisions.

Smart API Discovery & Chaos Integration

Easily scan applications to identify integrations with databases, connections, intelligent mapping and configuration.

Automated Workflow Orchestration

Smart automation of complex business processes with adaptive decision-making and error handling workflows.

Deep Learning Search

Combine chat, forms, logs and business data with rule-based access and contextual understanding.

Anomaly Detection

Machine learning-based monitoring of unusual patterns in business processes and data flows.

Core Capabilities

The AI Builder serves as the central nervous system, orchestrating intelligent automation across your entire business ecosystem.

Intelligent Processing Hub

Central orchestration powered by advanced LLMs including GPT-4, Claude-3, and Llama-2, enabling seamless communication across all integrated systems.

→ Enterprise Ready

Multi-Channel Processing (MCP)

Unified processing engine that handles appointment booking, time-tracking, reminders, and employee management through a single intelligent interface.

→ Enterprise Ready

Universal Integration

Native connectors for Salesforce, HubSpot, QuickBooks, HR systems, and legal platforms with real-time data synchronization.

→ Enterprise Ready

Enterprise Security

SOC 2 compliant infrastructure with end-to-end encryption, role-based access control, and audit trails for enterprise operations.

→ Enterprise Ready

Technical Architecture

Built on enterprise-grade infrastructure with state-of-the-art AI models and frameworks.

Large Language Models

  • GPT-4 with custom injection
  • Claude-3.5 Sonnet & Haiku
  • Llama-2 with custom injection
  • Mistral-7B for domain fine-tuning

Infrastructure

  • Microservice & API-first
  • Docker containerization
  • Auto-scaling Architecture
  • Multi-region Deployment

Frameworks & APIs

  • LangChain & LangSmith
  • Haystack for RAG
  • REST & GraphQL APIs
  • Webhooks Real-time

Data Processing

  • Custom Data Integration
  • Apache Kafka Streaming
  • Complex Knowledge Base
  • Real-time Data Models