Research Assistant

Use Lily as a research assistant for information gathering and research analysis

Overview

The Research Assistant use case uses Lily to help with information gathering, research analysis, and knowledge discovery. This digital assistant can search for information, analyze data, synthesize findings, and present research in a clear and organized manner.

Use Case Benefits

• Efficient Research: Quickly gather and analyze information from multiple sources
• 24/7 Research Support: Get research assistance anytime
• Comprehensive Analysis: Synthesize complex information into actionable insights
• Knowledge Organization: Structure research findings for easy reference

Implementation

JavaScript

const NavTalkMessageType = Object.freeze({
    CONNECTED_SUCCESS: "conversation.connected.success",
    REALTIME_SESSION_CREATED: "realtime.session.created",
    REALTIME_SESSION_UPDATED: "realtime.session.updated",
    // ... other event types
});

const websocketUrl = 'wss://transfer.navtalk.ai/wss/v2/realtime-chat';
const license = 'your-license-key';
const characterName = 'navtalk.Lily';

const websocketUrlWithParams = `${websocketUrl}?license=${encodeURIComponent(license)}&name=${encodeURIComponent(characterName)}`;
const socket = new WebSocket(websocketUrlWithParams);

// Configure Lily as a research assistant
socket.onmessage = (event) => {
  if (typeof event.data === 'string') {
    const data = JSON.parse(event.data);
    const nav_data = data.data;
    
    if (data.type === NavTalkMessageType.REALTIME_SESSION_CREATED) {
      // Send conversation history if needed
      // Session configuration (instructions, voice, model) is sent via realtime.input_config
    }
    
    if (data.type === NavTalkMessageType.REALTIME_SESSION_UPDATED) {
      // Session ready, start sending audio input
    }
  }
};

import asyncio
import websockets
import json
from urllib.parse import quote

NAV_TALK_MESSAGE_TYPE = {
    'CONNECTED_SUCCESS': 'conversation.connected.success',
    'REALTIME_SESSION_CREATED': 'realtime.session.created',
    'REALTIME_SESSION_UPDATED': 'realtime.session.updated',
    # ... other event types
}

async def connect_research_assistant():
    websocket_url = 'wss://transfer.navtalk.ai/wss/v2/realtime-chat'
    license = 'your-license-key'
    character_name = 'navtalk.Lily'
    
    websocket_url_with_params = f'{websocket_url}?license={quote(license)}&name={quote(character_name)}'
    
    async with websockets.connect(websocket_url_with_params) as websocket:
        async for message in websocket:
            if isinstance(message, str):
                data = json.loads(message)
                nav_data = data.get('data')
                
                if data.get('type') == NAV_TALK_MESSAGE_TYPE['REALTIME_SESSION_CREATED']:
                    # Send conversation history if needed
                    # Session configuration (instructions, voice, model) is sent via realtime.input_config
                    pass
                
                if data.get('type') == NAV_TALK_MESSAGE_TYPE['REALTIME_SESSION_UPDATED']:
                    # Session ready, start sending audio input
                    pass

asyncio.run(connect_research_assistant())

Use function calling to integrate with search APIs, databases, and knowledge bases for more comprehensive research capabilities.