Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talks - Qdrant
Apr 12, 2024Demetrios Brinkmann

Summary
This post demonstrates building search and RAG over an OpenAPI specification using Qdrant and Trieve. It details how Qdrant's group-based system can be used to organize API endpoints by tags, enabling more structured search results. The technical implementation involves parsing the OpenAPI JSON, creating groups in Qdrant for each tag, and then inserting individual API paths as points within their respective groups. The post also briefly mentions Tantivy as a complementary search engine.
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