Few other helpful options recently added to Langchain: 1. Extraction for query filters - https://twitter.com/hwchase17/status/1651617956881924096?s=46&t=gkyxL9

Few other helpful options recently added to Langchain: 1. Extraction for query filters - https://twitter.com/hwchase17/status/1651617956881924096?s=46&t=gkyxL9FAhSE-DiMAkwTkcg https://twitter.com/hwchase17/status/1651617956881924096?s=4... 2. Contextual compression to eek more out of prompt stuffing - https://twitter.com/hwchase17/status/1649428295467905025?s=46&t=gkyxL9FAhSE-DiMAkwTkcg https://twitter.com/hwchase17/status/1649428295467905025?s=4... And then it’s been there’s existing great utility chains for map-reduce, with re-ranking, etc for more ways to apply LLM completions over large documents and/or large sets of documents: 3. https://m.youtube.com/watch?v=f9_BWhCI4Zo https://m.youtube.com/watch?v=f9_BWhCI4Zo