Thanks to SeMI Technologies #weaviate dedicated module, both indexed documents and queries are transparently vectorized calling the OpenAI‘s embeddings API.
Results “close” to the query are then retrieved from the #weaviate vector database with the #graphql operators “nearText” or “ask”.
For more details:
– WPSOLR 22.4: https://www.wpsolr.com/forums/topic/release-22-4/
– WPSOLR & Weaviate: https://www.wpsolr.com/feature-weaviate/
– OpenAI embeddings API: https://beta.openai.com/docs/guides/embeddings
– Weaviate OpenAI module: https://weaviate.io/developers/weaviate/current/retriever-vectorizer-modules/text2vec-openai.html#introduction