Enhancing Information Retrieval with Contextual Compression & Filters

The video discusses challenges in retrieving relevant information for language models and introduces contextual compression and filters to address this issue. I
The video discusses challenges in retrieving relevant information for language models and introduces contextual compression and filters to address this issue. It explains the use of compressors and filters in processing retrieved information to extract only what is useful for answering a specific question. The video demonstrates examples, such as using a language model chain extractor, a filter to determine relevance, and an embedding filter to rank results based on similarity. The concept of a document compressor pipeline is also introduced, allowing for various processing steps to be combined.

Advanced RAG 04 - Contextual Compressors & Filters

Advanced RAG 04 - Contextual Compressors & Filters