The Week's Top Changes, Tutorials and Insights
Stay updated with the latest conversational AI news and updates by subscribing to ChatBotKit's weekly newsletter. Here you can find our latest changes, tutorials, reflections, docs, examples and more.
We're thrilled to share the latest updates and improvements to ChatBotKit over the past week. Our team has been working hard to make ChatBotKit even more powerful, intuitive, and user-friendly.
Here's what's new in ChatBotKit:
- ️🔥 Introducing Blueprint Annotations - Integrate contextual notes and visual markers within your blueprints for improved collaboration and clarity throughout your project lifecycle.
- ️🔥 Introducing Gemini 2.5 Pro - Discover Gemini 2.5 Pro, Google's most advanced AI model, enhancing reasoning and flexibility for coding and complex tasks.
- ️🔥 Gemini Native Vision Features - Discover the latest Gemini Native Vision features, enabling powerful image analysis across all Gemini models.
- ️🔥 ChatBotKit now Integrates with Quench.AI - ChatBotKit's new integration with Quench.AI introduces a powerful fusion of agentic AI and Retrieval-Augmented Generation (RAG) technology.
You may also be interested in some of our latest tutorials:
- 💡 Building an AI Bot with Image Processing for Bike Repair - This tutorial guides you through building an AI bot that utilizes image processing to diagnose bike issues and facilitate repair bookings. Follow the steps to set up your bot, configure its interaction flow, and integrate it into your website for enhanced customer service.
Plus, check out these new / updated docs:
- 📚 Models - Explore ChatBotKit's diverse range of conversational AI models, including OpenAI's latest innovations and custom solutions.
- 📚 Secrets - Secrets provides a secure environment for storing sensitive information such as tokens, keys, and credentials used across the ChatBotKit services.
Here are some topics you may find interesting:
- 🎓 What is RAG as a Service - Discover RAG as a Service (RAGaaS). Understand how this AI framework improves LLM accuracy and relevance using external knowledge, offered as a managed cloud service.
- 🎓 What is the Agent2Agent Protocol - Explore the Agent2Agent (A2A) Protocols, designed to enhance communication between AI agents.
- 🎓 What is the Model Context Protocol - The Model Context Protocol (MCP) aims to standardize the exchange and management of context information across AI systems.
- 🎓 Workflows vs. AI Agents - Discover how AI agents are transforming the landscape of software development with their flexibility, scalability, and learning capabilities.
- 🎓 What is Prompt Injection - This article explores prompt injection, a growing concern in AI cybersecurity. It explains the mechanics of prompt injection attacks, their historical context, and offers strategies for building secure AI systems to mitigate these risks.
New and updated examples to help you get started.
- 🚀 Call Analyzer - An AI widget that demonstrates the use of use of canvas to analyze and visualize call data.
Special offers and much more! Stay tuned for next week's newsletter.
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