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互動式聊天解決方案

  • Orimon.ai offers AI-driven chatbots for sales, support, and customer engagement.
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    What is Orimon AI?
    Orimon.ai is a cutting-edge platform that uses AI to create interactive and human-like chatbots for businesses. These AI chatbots manage customer interactions across various channels including email, chat, and social media. By using deep learning technologies, Orimon.ai ensures swift and efficient responses to customer inquiries, transforming visitor interactions into meaningful conversations. This not only boosts sales and conversions but also reduces operational costs by minimizing the need for large customer service teams.
    Orimon AI Core Features
    • AI-powered chatbots
    • Multi-channel integration
    • Conversational analytics
    • Document and product sheet training
    • API access
    • Human support fallback
    Orimon AI Pro & Cons

    The Cons

    No public open-source repository available
    Website does not explicitly mention mobile or app store applications
    Limited explicit information on pricing tiers or trial limitations

    The Pros

    Enables creation of custom AI agents for sales and support
    Supports conversational lead qualification to enhance sales funnel
    Integrates with multiple data sources and popular CRM tools
    Provides hybrid AI-human support for seamless customer service
    True multilingual support with over 150 languages
    Offers detailed analytics and AI observability for accuracy and optimization
    No credit card required to start with a free first bot
    Customizable agent style and behavior for brand consistency
    Orimon AI Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Free

    0 USD
    • 1 chatbot
    • 1 E-commerce bot
    • 1 live agent seat
    • 50 credits/month (up to 150 messages/month)
    • 10 links/chatbot for training
    • Document training: 5 files <2 MB each
    • 5 trainings/month
    • Website chatbot only
    • Webhook integration only

    Starter

    49 USD
    • 2 chatbots
    • 1 E-commerce bot
    • 4 live agent seats
    • 4000 credits/month (up to 12,000 messages/month)
    • 200 links/chatbot for training
    • Document training: 25 files <3 MB each
    • Unlimited trainings
    • All messaging channels
    • All lead flow integrations
    • API access

    Growth

    99 USD
    • 5 chatbots
    • 2 E-commerce bots
    • 10 live agent seats
    • 10000 credits/month (up to 30,000 messages/month)
    • 500 links/chatbot for training
    • Document training: 50 files <5 MB each
    • Unlimited trainings
    • All messaging channels
    • All lead flow integrations
    • API access

    Elite

    399 USD
    • 10 chatbots
    • 5 E-commerce bots
    • 20 live agent seats
    • 40000 credits/month (up to 120,000 messages/month)
    • 1,000 links/chatbot for training
    • Document training: 100 files <10 MB each
    • Unlimited trainings
    • All messaging channels
    • All lead flow integrations
    • API access
    • Unlimited messages with your own OpenAI API key (BYOK)
    • Remove Orimon branding
    • White label chatbot domain

    Enterprise

    599 USD
    • Unlimited chatbots
    • Unlimited E-commerce bots
    • Unlimited live agents
    • Unlimited message credits
    • Dedicated account manager
    • Unlimited file uploads
    • Premium customer support
    • Personal onboarding
    • All integrations
    • API Access
    • BYOK for exceeding message limit
    • Chatbot branding removal
    • White label chatbot domain
    Discount:Save with annual commitments; contact sales for exclusive discounts
    For the latest prices, please visit: https://orimon.ai/pricing
  • An open-source RAG chatbot framework using vector databases and LLMs to provide contextualized question-answering over custom documents.
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    What is ragChatbot?
    ragChatbot is a developer-centric framework designed to streamline the creation of Retrieval-Augmented Generation chatbots. It integrates LangChain pipelines with OpenAI or other LLM APIs to process queries against custom document corpora. Users can upload files in various formats (PDF, DOCX, TXT), automatically extract text, and compute embeddings using popular models. The framework supports multiple vector stores such as FAISS, Chroma, and Pinecone for efficient similarity search. It features a conversational memory layer for multi-turn interactions and a modular architecture for customizing prompt templates and retrieval strategies. With a simple CLI or web interface, you can ingest data, configure search parameters, and launch a chat server to answer user questions with contextual relevance and accuracy.
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