What's included

• Centralized Knowledge Repository

  A structured, searchable system that stores your documents, transcripts, tickets, and internal information in a unified interface.

• RAG Retrieval Pipeline

  A custom-built pipeline using pgVector, Pinecone, Qdrant, MongoVector or Redis to retrieve accurate, context-aware information from your data.

• AI Chatbot with Contextual Understanding

  A fully customized chatbot that answers queries using your knowledge base with multi-turn memory and role-aware responses.

• Document Ingestion & Embedding Engine

  Automated pipelines for cleaning, chunking, embedding, and indexing documents for high-quality retrieval.

• Role-Based Access Controls

  Permission-aware retrieval ensuring users only access information they are allowed to see.

• Frontend Chat Interface & Embeddable Widget

  Interactive chat UI built with React or Next.js that can be added to your product, dashboard, or internal tool.

• Admin Panel & Content Management

  Dashboard for adding documents, reviewing embeddings, managing permissions, and tracking chatbot usage.

• API Integration Layer

  REST or GraphQL endpoints for integrating the chatbot with your internal systems or external applications.

• Cloud Deployment & Monitoring

  Secure deployment on AWS with logging, monitoring, autoscaling, and optimization for query performance.

• Documentation & Onboarding Guides

  Clear instructions for your team on managing documents, workflows, and monitoring the performance of your RAG system.