Weaviate Gorilla Part 1 GraphQL APIs

Researchers have developed a new direction for Language Learning Models (LLMs) by connecting them with tools such as APIs. One example is WeaviateGraphQLGorilla, which translates natural language commands into Weaviate GraphQL Search APIs. The model was trained on a novel dataset of 46 Weaviate GraphQL Search APIs customized to a set of 50 synthetic Database schemas, totaling 2,300 examples. This project aims to help users access the power of Weaviate without needing to learn its syntax and can be integrated into the Auto API for future use.