Best Conversational AI Platforms for Docker

Google AI Studio enables organizations to develop advanced conversational AI solutions that facilitate natural, human-like interactions with users. By utilizing cutting-edge natural language processing (NLP) and machine learning technologies, the platform empowers users to create chatbots, virtual assistants, and various AI-powered communication tools that can comprehend and respond to intricate user queries. Its features, such as context awareness and multi-turn dialogue management, allow conversational AI systems to maintain meaningful exchanges throughout prolonged interactions, thereby improving customer service, sales, and overall engagement. Google AI Studio offers user-friendly design tools, including ready-made templates, customization options, and integration capabilities, ensuring smooth implementation in practical scenarios.

Tiledesk delivers scalable customer service to your mobile apps and your website. It is the first messaging platform that seamlessly connects applications, chatbots and humans, with its orchestration layer and built-in AI powered Bots. It is an open source project, based on the MQTT protocol for the messaging. Main Features: • Live Chat Widget with full multichannel experience on Web and Mobile; • Resolution Bot to automate customer support; • Easy Integration with all major AI-platforms, cloud and Open source, from DialogFlow to RASA; • Ticketing Management system perfectly integrated into the platform and into the flow of instant conversations; • Chat Tools like typing indicator, off-line access, delivery receipts, contact list, conversation history and much more; • Team Organization with multi-project management, SLAs setting, smart assignment of the queues, departments organization and much more; • Seamless conversation allows to “jump” between different channels in a transparent way for end customers and agents; • Dashboard with real time analytics; • Knowledge base.

Lunary serves as a platform for AI developers, facilitating the management, enhancement, and safeguarding of Large Language Model (LLM) chatbots. It encompasses a suite of features, including tracking conversations and feedback, analytics for costs and performance, debugging tools, and a prompt directory that supports version control and team collaboration. The platform is compatible with various LLMs and frameworks like OpenAI and LangChain and offers SDKs compatible with both Python and JavaScript. Additionally, Lunary incorporates guardrails designed to prevent malicious prompts and protect against sensitive data breaches. Users can deploy Lunary within their VPC using Kubernetes or Docker, enabling teams to evaluate LLM responses effectively. The platform allows for an understanding of the languages spoken by users, experimentation with different prompts and LLM models, and offers rapid search and filtering capabilities. Notifications are sent out when agents fail to meet performance expectations, ensuring timely interventions. With Lunary's core platform being fully open-source, users can choose to self-host or utilize cloud options, making it easy to get started in a matter of minutes. Overall, Lunary equips AI teams with the necessary tools to optimize their chatbot systems while maintaining high standards of security and performance.