Aryn‘s Conversational Stack is an open-source conversational search stack that allows developers to easily build and extend conversational applications on enterprise data. The stack consists of three main components.
- Semantic data preparation with Sycamore: Sycamore is a tool that helps developers prepare data for conversational search by identifying and extracting key entities and relationships.
- Semantic search with OpenSearch: OpenSearch is a popular enterprise-grade search engine that offers a variety of features for semantic search, including synonym expansion and entity recognition.
- Conversational capabilities in OpenSearch: Aryn adds conversational capabilities to OpenSearch that use generative AI to capture query semantics and synthesize responses from the most relevant sections of a dataset.
The stack is designed to be easy to use and extensible, allowing developers to quickly build and deploy high-quality conversational search applications. It’s also open source, allowing developers to customize the stack to suit their specific needs.
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Here are some of the benefits of using Aryn’s Conversational Stack:
- Easy to use: The stack is designed to be easy to use for developers of all experience levels.
- Extensible: The stack is extensible, allowing developers to add their own custom components and features.
- Open source: The stack is open source, which means that developers can customize the stack to meet their specific needs.
- Scalable: The stack is designed to be scalable, so that it can handle large volumes of traffic and data.
Aryn’s Conversational Stack is a powerful tool that can be used to build a variety of conversational applications, such as customer service chatbots, product search assistants, and knowledge bases. It is a good choice for developers who are looking for an open source, easy to use, and scalable platform for building conversational search applications.
