Instantly chat with your company documents using AI-powered search and real-time, context-aware responses.
Detects new files added to a specific Google Drive folder and processes them automatically.
Generates embeddings from document content and stores them in Pinecone for fast semantic retrieval.
Allows users to ask questions and receive accurate, context-aware answers based on uploaded documents.
This automation transforms your company documents into a searchable knowledge base by generating vector embeddings and enabling Retrieval-Augmented Generation (RAG) chat experiences.
When files are added to a specific Google Drive folder, the Google Drive document chatbot automatically indexes them and allows users to ask questions and receive accurate, context-aware responses in real time.
See How It WorksA visual overview of how documents flow through the enterprise RAG chatbot system—from ingestion and embedding generation to vector search chatbot retrieval and AI-powered responses.
Built with scalable AI and vector search technologies for enterprise-grade performance.
A fully automated document-to-chat workflow enabling instant knowledge retrieval.
Turn static documents into an intelligent, searchable knowledge system.
Retrieve answers from documents in seconds without manual searching.
Answers are grounded in your actual company data through Retrieval-Augmented Generation chatbot logic.
New files are indexed automatically without reconfiguration.
Handles growing document libraries efficiently.
Uses your existing Google Drive permissions and infrastructure.
Ideal for organizations managing large volumes of internal documentation.
Search internal policies and documentation instantly using an enterprise RAG chatbot.
Access procedures, guidelines, and onboarding materials via an AI knowledge base chatbot.
Query contracts, policies, and regulatory documents with confidence.
Find accurate answers faster using a document-based AI chatbot.
Stop searching through files. Start chatting with your company knowledge in real time.