Hyper Introduction

Hyper is an open-source developer platform designed to improve data ingestion and interaction capabilities for large language models (LLMs).
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What is Hyper

Hyper is a developer platform that streamlines the processes of data ingestion, querying, and access management, allowing developers building LLM applications to focus on building features. It integrates multiple data sources into a unified interface, supporting complex Retrieval-Augmented Generation (RAG) queries and sophisticated access control. Hyper also supports the ingestion of various data types, including documents, images, and websites.

How does Hyper work?

Hyper works by integrating multiple data sources into a unified interface, allowing developers to configure it with a model and vector store. This enables the use of RAG techniques such as information retrieval, question & answer, and semantic search for improved data querying. The platform also supports sophisticated access control and redaction for vectorized data. Hyper is engineered by former employees of Google and Amazon and is proudly open source.

Benefits of Hyper

Hyper provides several benefits, including streamlined data ingestion and querying, improved access control, and the ability to leverage RAG techniques for enhanced data interaction. It also supports a wide range of data types and integrates with various data sources, making it a versatile tool for developers building LLM applications.

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