Pinecone Systems, founded in 2019 and based in the United States, operates within the software industry, specifically focusing on engineering software. The company has developed a serverless vector database designed to facilitate semantic search over extensive and dynamic datasets. This technology supports complex queries that integrate vector similarity with metadata constraints, which is particularly relevant in retrieval-augmented generation (RAG) systems. A key aspect of Pinecone's offering is its ability to accurately filter metadata, such as document type and user context, which is critical for maintaining response quality in serverless environments. The architecture utilizes immutable vector slabs organized in an LSM-tree structure, enabling efficient handling of continuously changing data. Pinecone's research contributions include papers presented at international conferences, such as the 42nd International Conference on Machine Learning (ICML), where they discuss advancements in metadata filtering and scalable performance metrics. With a workforce of 51 to 200 employees, Pinecone Systems has reported revenue of approximately $38.86 million.