AI Assistant Module

The AI Assistant is the organization's RAG-powered chatbot, enabling users to query private knowledge bases and receive grounded, cited answers.

🚀 Quick Start

1. Configure KB: Add your first data source (Drive, Doc, or URL) in Knowledge Base settings.
2. Wait for Sync: The system will automatically index and embed your content into the vector store.
3. Start Chatting: Open the AI Assistant and ask questions in natural language.

📖 Documentation

• Software Requirements (SRS) — Functional requirements and RAG business rules.
• Technical Specification — Architecture, RAG pipeline, and pgvector.
• Database Schema — Vector chunks and chat session tables.
• API Reference — Endpoints for conversational chat and indexing.

🛠️ Key Features

• Conversational Q&A: Context-aware chatbot with persistent history.
• Linked Citations: Verifiable answers with direct links to source material.
• Multi-source Indexing: Unified vector store for Drive, Docs, and Web content.
• Answer Feedback: User-driven rating system for continuous AI improvement.

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ai.venizia.ai · Q&A

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What is our remote work policy?

Our remote work policy allows for up to 3 days of work-from-home per week... [1]

[1] Employee Handbook v2.pdf

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