Introducing Pinecone Rerank V0

What this post added

Introduces pinecone-rerank-v0, a new reranking model available via the Pinecone inference endpoint. This model uses a cross-encoder architecture to improve relevance scores for query-document pairs, with a maximum context length of 512 tokens. The post details evaluation results against industry-leading models on benchmarks like BEIR and TREC, demonstrating significant improvements in NDCG@10 and MRR@10. It also provides a Python code example for using the reranker.