How Chatbix AI Works

Chatbix AI is a no-code, AI-powered knowledge assistant platform that allows organizations to build intelligent chatbots trained exclusively on their own data.

This section explains how Chatbix AI processes data, understands user queries, and delivers accurate, real-time responses across multiple channels.

High-Level Workflow

Chatbix AI follows a structured pipeline to ensure reliable, context-aware answers.

Data is added to Datastores
Content is processed and indexed
AI Agents are connected to Datastores
Users submit questions
Relevant knowledge is retrieved
AI generates an accurate response
Responses are delivered instantly

Step-by-Step System Flow

1. Add Knowledge to Datastores

Datastores act as centralized knowledge repositories that store all the information your AI agents can access.

Documents (PDF, DOCX, TXT, CSV, PPT, XLS)
Web pages or full websites
Manual Q&A entries
Google Drive files (Premium)
YouTube video transcripts (Premium)

Each Datastore can contain multiple data sources and be shared across one or more agents.

2. Content Extraction & Cleaning

After data is added, Chatbix AI automatically prepares it for AI consumption.

Extracts readable text from files and web pages
Removes navigation, boilerplate, and irrelevant markup
Normalizes content for consistency

3. Chunking & Vectorization

Cleaned content is optimized for fast and accurate retrieval.

Chunking – Large content is split into smaller, meaningful sections
Vectorization (Embeddings) – Each chunk is converted into semantic vectors
Indexing & Storage – Vectors are securely stored for rapid search

This enables Chatbix AI to retrieve relevant information in milliseconds.

4. AI Agent Configuration

AI Agents are responsible for interacting with users and generating responses.

Powered by a large language model (LLM)
Connected to one or more Datastores
Configurable behavior, tone, and purpose
Deployable across multiple channels

Agents can be created for use cases such as customer support, sales assistance, internal knowledge, and documentation help.

5. User Query Submission

When a user asks a question, the system begins real-time processing.

Query is sent to the assigned AI agent
Agent analyzes intent and context
Connected Datastores are searched for relevant knowledge

6. Knowledge Retrieval

Chatbix AI retrieves the most relevant content using semantic understanding.

Matches meaning instead of exact keywords
Ranks results by relevance and confidence
Filters results based on agent permissions

Only trusted, connected Datastore content is used—no external or public data.

7. Response Generation

The AI generates answers using only retrieved Datastore context.

Produces clear and accurate responses
Grounded strictly in your organization’s data
Optional source references can be shown (if enabled)

8. Real-Time Delivery & Monitoring

Responses are delivered instantly across supported channels.

Website widgets and standalone pages
Messaging platforms (WhatsApp, Slack, Telegram)
Email inboxes
APIs and custom integrations

All conversations are logged in the Inbox for monitoring, human takeover, assignment, and resolution.

Continuous Improvement Loop

Chatbix AI improves over time through learning and feedback.

Human takeover and corrections
User feedback (likes / dislikes)
Analytics and performance monitoring
Datastore updates and refinements

Summary

Chatbix AI combines centralized Datastores, configurable AI agents, semantic retrieval, and real-time multi-channel delivery.

This architecture enables teams to deploy scalable, trustworthy AI assistants without writing a single line of code.