Smart Pre-Processing for Your Language Models

The Contextual Compression Retriever acts as an intelligent filter between your document store and language model:

1. Document retrieval: First, relevant documents are retrieved based on the query
2. Context analysis: The system evaluates which parts of each document truly relate to the question
3. Selective compression: Irrelevant passages are filtered out, retaining only meaningful context
4. Optimized delivery: Only the most pertinent information reaches your language model

This process dramatically improves efficiency by ensuring your AI models focus only on what matters, reducing both processing time and cost while improving response quality and relevance.