Text match filters for agents

Introduces and details the implementation of text match filters for Pinecone's vector database. This feature allows for lexical queries to restrict the candidate pool for semantic search, addressing the ambiguity problem where queries assume unstated context. The post demonstrates how this works with a CNN news article dataset and discusses its benefits for agentic applications by improving retrieval accuracy and reducing wasted computation.