MirrorFly AI Chatbot Solution

MirrorFly AI Chatbot is an enterprise-grade solution that is designed to create and deploy AI agents for businesses. The core comprises frameworks like LangChain and LangGraph (node-based workflows) to enable the chatbots to go beyond basic one-off text responses to an intelligent engine that can drive context-aware conversations with the user. These workflows connect the agent with the LLM provider. RAG ensures the chatbots rely on the business-specific training data and web scraping capabilities. This also helps the chatbots hallucinate less and respond based on the product or service it is intended for.

For storage, the agents rely on Vector databases like MongoDB, Pinecone and FAISS, embedding models and Object Storage for maintaining the documents. To enable multiple voice options, it uses Deepgram, and connects calls via WebRTC and SIP/VoIP integration.
To secure the agent conversations, MirrorFly supports end-to-end encryption with AES, TLS, JWT (JSON Web Tokens) and MCP for connecting external tools.

The primary capabilities of MirroFly AI Chatbot include conversational intelligence like multi-turn reasoning, and context-aware memory management. With Model Agnostic Support, it is also possible to switch between LLM providers. Besides, businesses can also get post-call analytics like transcripts and sentiment scoring, token management, rate limiting and retrieval testing/ evaluation.

The solution provides over 500+ features including system prompt customization, custom welcome openers, formality & tone selection. It supports datasets from multiple sources, accepts any type of file uploads, web syncing and scraping techniques along with RAG Configuration Sliders (Page Rank, Auto Keyword, Chunk Token). For voice and calling, it supports Speech-to-Text (STT) Settings, Interruption Sensitivity, Max Call Duration, Built-in Functions (End Call, Transfer to Agent/Number), and DTMF IVR Navigation.