This tool is highly recommended for developers looking to create enterprise-grade chatbots, especially those already using Microsoft's cloud infrastructure (Azure). It's also suitable for teams seeking to integrate AI and natural language processing capabilities into their bots with relative ease.
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Based on our record, Google Cloud Storage should be more popular than Microsoft Bot Framework. It has been mentiond 39 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Seamless integration with Google Cloud: GKE integrates smoothly with other Google Cloud services like Cloud Storage, Cloud SQL, and, importantly, Vertex AI, where Gemini and other LLMs are hosted. - Source: dev.to / 4 months ago
All cloud providers offer some variations of file bucket services. These file bucket services allow users to store and retrieve data in the cloud, offering scalability, durability, and accessibility through web portals and APIs. For instance, AWS offers Amazon Simple Storage Service (S3), GCP offers Google Cloud Storage, and DigitalOcean provides Spaces. However, if unsecured, these file buckets pose a major... - Source: dev.to / 10 months ago
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
Cloud Storage: blog storage for static assets and media files. - Source: dev.to / over 1 year ago
Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / over 1 year ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 2 years ago
I have developed MS Teams Message Extension using Java[Spring Boot] and registered the bot in Botframework Development portal[https://dev.botframework.com/]. It is working fine in local. I tested in local environment using a tunneling application named localtunnel. I tested the extension in MS Teams. Source: about 3 years ago
Maybe this will fit your needs? Microsoft Bot Framework - https://dev.botframework.com/. Source: over 3 years ago
This library (also Node.Js) lets you connect to The Microsoft Bot Framework. Source: over 3 years ago
Besides building informational chatbots using QnA Maker, Azure also provides a larger Bot Service for developing more sophisticated chatbots. Transactional chatbots perform operations such as accessing and modifying internal IT documents and databases and dynamic and context aware chatbots can be used as virtual assistants. Bot Framework is an SDK that lets developers create these kinds of chatbots using their... - Source: dev.to / almost 4 years ago
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Botpress - Open-source platform for developers to build high-quality digital assistants
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
Dialogflow - Conversational UX Platform. (ex API.ai)
Alibaba Object Storage Service - Alibaba Object Storage Service is an encrypted and secure cloud storage service which stores, processes and accesses massive amounts of data
Amazon Lex - Harness the power behind Amazon Alexa for your own conversational apps.