Similarity Metrics in Vector Databases
We discuss similarity metrics such as Cosine Similarity, and Inner Product, especially why Inner Product can be used as a similarity metric.
We discuss similarity metrics such as Cosine Similarity, and Inner Product, especially why Inner Product can be used as a similarity metric.
We'll take a look at how OpenAI enables text embedding and use Python to do an exercise to cluster some texts.
We compare Pinecone with Elasticsearch from perspectives of Data Representation, Search Capabilities, and Integration with Machine Learning.