Hasura + Vector DBs

The text discusses how to integrate Hasura with vector databases (VectorDBs) to build production-ready applications quickly. It provides a use case of an HR management app that lets candidates apply for jobs and allows HR managers to assign candidates to hiring managers while tracking progress from a single dashboard. The text then explains how large language models (LLMs) can be leveraged with the help of VectorDBs, which store mathematical representations of input text. It also covers setting up Hasura with Weaviate, a popular VectorDB, and creating tables in Postgres database. Finally, it demonstrates querying across data stores using GraphQL queries and adding access control to ensure only authorized users can view specific applications.