Contextual Compression

This code demonstrates the implementation of contextual compression in a document retrieval system using LangChain and OpenAI's language models. The technique aims to improve the relevance and conciseness of retrieved information by compressing and extracting the most pertinent parts of documents in the context of a given query.

Traditional document retrieval systems often return entire chunks or documents, which may contain irrelevant information. Contextual compression addresses this by intelligently extracting and compressing only the most relevant parts of retrieved documents, leading to more focused and efficient information retrieval.