Instant GraphQL APIs on Qdrant

The Hasura Qdrant connector is a powerful tool that enables developers to perform semantic searches on their data using GraphQL, specifically vector and recommendation search, which are increasingly important in Retrieval-Augmented Generation (RAG) workflows. The connector allows for simple queries, queries with predicates, queries with vector search, queries with vector search and predicate filtering, queries with recommendation search, insert mutations, update mutations, delete mutations, and the ability to create relationships between Qdrant and other data-sources such as PostgreSQL. This powerful feature enables developers to perform a vector or recommendation search and then join the resulting data back to their PostgreSQL database, enhancing the accuracy and relevance of information retrieved by AI models.

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