Super syncs the data from all your company stack and gives your team the workflows and tools to get instant value from AI.
Products used by Super
Explore the tech stack and tools that power Super. See what products Super uses for development, design, marketing, analytics, and more.
Productivity 2
Productivity 2
ElasticSearchLucene based search server.
5.0 (25 reviews)
Elasticsearch serves as the backbone of Super's search capabilities, enabling fast and accurate retrieval of information across diverse data sources. Its flexibility allows us to handle complex queries generated by our AI system, while providing robust analytics on usage patterns. The graph-based architecture we built integrates Elasticsearch queries with LLM prompts, creating a powerful system that can search, analyze, and synthesize information. Elasticsearch's scalability and customization options have been crucial for local development, error handling, and continuous improvement of Super's performance. Simply put, Elasticsearch's speed and adaptability made it the ideal foundation for building Super's advanced knowledge retrieval system.
Design & Creative 1
Design & Creative 1
LLMs 2
LLMs 2
LangchainLangChain’s suite of products supports AI development
5.0 (93 reviews)
Langgraph helped build Super by providing a standardized framework that made the complex LLM/source interactions more manageable through a declarative graph structure. It enabled better parallelization which significantly improved response speed, while also providing full graph state/sequence debugging capabilities that made troubleshooting easier. The migration to Langgraph unlocked new capabilities like human-in-the-loop pauses for clarification and better fallback mechanisms when models fail. Additionally, Langgraph's functional API allowed developers to write more natural, sequential code for complex subgraphs while still maintaining the benefits of the graph framework.
