If you're just starting out, I'd use sentence-transformers for calculating embeddings. You'll want a bi-encoder model since they produce embeddings. As the auth

If you're just starting out, I'd use sentence-transformers for calculating embeddings. You'll want a bi-encoder model since they produce embeddings. As the author of the blog, I'm partial towards Milvus (https://github.com/milvus-io/milvus https://github.com/milvus-io/milvus) due to its enterprise and scale, but FAISS is a great option too if you're just looking for something more local and contained. Milvus will perform vector similarity search for you - all you need to do is give it a query vector.