InfuseAIProduction-Ready AI Platform

What is InfuseAI? ​

InfuseAI is a production-ready platform for building and deploying custom AI applications powered by your own knowledge bases. It combines a powerful RAG (Retrieval-Augmented Generation) pipeline with an intuitive management dashboard and a developer-friendly SDK for seamless integration.

Key Features ​

Powerful RAG System ​

• Automatic document chunking and embedding
• Vector storage with Pinecone
• Semantic search and context retrieval
• Support for multiple document formats (PDF, TXT, MD)

Multiple AI Models ​

• LLM: Groq for ultra-fast inference
• Embeddings: Google Gemini for high-quality vector representations
• Flexible configuration per application

Developer-Friendly ​

• Official SDKs for Node.js and Python
• Simple API with authentication
• Embeddable chat widgets
• Comprehensive error handling

Production-Ready ​

• Scalable architecture
• Secure authentication
• Credit-based usage tracking
• Analytics and monitoring

Use Cases ​

• Customer Support: Build AI assistants trained on your documentation
• Internal Knowledge Base: Create searchable AI interfaces for company knowledge
• Documentation Assistant: Help users find information in complex documentation
• Product Assistant: Guide users through product features and troubleshooting
• Custom Chatbots: Develop specialized chatbots for any domain

Quick Example ​

import { InfuseClient } from 'infuseai-sdk';

const client = new InfuseClient({
  clientId: 'YOUR_CLIENT_ID',
  appId: 'YOUR_APP_ID',
  apiKey: 'YOUR_API_KEY',
});

const response = await client.query('What is InfuseAI?');
console.log(response.response);

from infuseai import InfuseClient

client = InfuseClient(
    client_id="YOUR_CLIENT_ID",
    app_id="YOUR_APP_ID",
    api_key="YOUR_API_KEY",
)

response = client.query("What is InfuseAI?")
print(response.response)

Architecture Overview ​

InfuseAI consists of several components working together:

1. Web Dashboard - Next.js application for app and knowledge base management
2. Admin Panel - Administrative interface for user management
3. Node.js SDK - Client library for JavaScript/TypeScript applications
4. Python SDK - Client library for Python applications
5. Vector Database - Pinecone for semantic search
6. Application Database - MongoDB for metadata storage
7. AI Services - Groq for LLM, Gemini for embeddings