prebuilt¶

Haive Prebuilt Package - Ready-to-use AI solutions and applications.

This package provides a collection of prebuilt, production-ready AI applications and solutions built on the Haive framework. These applications demonstrate best practices, provide immediate value, and serve as templates for custom development.

The prebuilt solutions are designed to be: - Production-ready with comprehensive error handling - Easily configurable for different use cases - Extensible for custom requirements - Well-documented with usage examples - Performance-optimized for real-world scenarios

Available Prebuilt Solutions:

Research and Analysis:

  • Research Assistant: Comprehensive research automation

  • Document Analyzer: Intelligent document processing

  • Data Insights Engine: Automated data analysis and reporting

  • Competitive Intelligence: Market research and analysis

  • Academic Paper Analyzer: Scientific literature review

Content Creation:

  • Content Generator: Multi-format content creation

  • Social Media Manager: Automated social media posting

  • Blog Writer: Intelligent blog post generation

  • Newsletter Creator: Automated newsletter compilation

  • Marketing Copy Generator: Advertising and marketing content

Business Applications:

  • Customer Support Bot: Intelligent customer service

  • Sales Assistant: Lead qualification and follow-up

  • Meeting Summarizer: Automated meeting notes and action items

  • Invoice Processor: Automated invoice handling

  • Compliance Monitor: Regulatory compliance checking

Development Tools:

  • Code Reviewer: Automated code review and suggestions

  • Documentation Generator: Auto-generated code documentation

  • Test Case Generator: Automated test creation

  • Deployment Assistant: CI/CD automation helper

  • Performance Monitor: Application performance analysis

Educational Solutions:

  • Tutor Bot: Personalized learning assistance

  • Quiz Generator: Automated quiz and assessment creation

  • Curriculum Planner: Educational content planning

  • Progress Tracker: Student progress monitoring

  • Language Teacher: Foreign language learning assistant

Usage:
from haive.prebuilt import ResearchAssistant, ContentGenerator, CustomerSupportBot

# Create a research assistant
researcher = ResearchAssistant(
    name="Academic Researcher",
    specialization="AI and Machine Learning",
    sources=["arxiv", "google_scholar", "ieee"]
)

# Conduct research
research_report = await researcher.research_topic(
    "Latest developments in large language models"
)

# Create content generator
content_gen = ContentGenerator(
    style="professional",
    target_audience="technical professionals"
)

# Generate blog post
blog_post = await content_gen.create_blog_post(
    topic="AI in Healthcare",
    length="medium",
    include_sources=True
)

# Create customer support bot
support_bot = CustomerSupportBot(
    knowledge_base="company_kb.json",
    escalation_rules="support_rules.yaml"
)

# Handle customer query
response = await support_bot.handle_query(
    "How do I reset my password?"
)
Configuration:

Each prebuilt solution includes: - YAML/JSON configuration files - Environment variable support - Command-line interface options - Web-based configuration panels - API endpoint configuration

Deployment Options:

  • Docker containers for easy deployment

  • Cloud-native configurations (AWS, GCP, Azure)

  • Kubernetes manifests for orchestration

  • Serverless function packages

  • Traditional server deployments

Customization:

All prebuilt solutions support: - Custom prompts and instructions - Plugin architecture for extensions - Custom data sources and integrations - Branding and UI customization - Workflow modifications

Each solution includes comprehensive documentation, deployment guides, configuration examples, and integration tutorials.

Submodules¶