What’s Haystack?
As an open-source framework for constructing LLM functions, Haystack tries to do the essential issues appropriately, reasonably than doing all of the issues. Haystack doesn’t have as many first-party integrations as, say, LangChain, however it owns and totally helps the 34 integrations it at present has. Haystack additionally affords 28 community-contributed integrations to tie the framework to less-popular information and doc shops, fashions, instruments, and APIs. I point out integrations earlier than discussing the core framework structure (see “Haystack ideas” under) as a result of the integrations truly require extra improvement effort than core orchestration capabilities.
Along with valuing doing issues proper over doing all of the issues, Haystack tries to be express reasonably than implicit. Which will imply writing extra code the primary time you create a pipeline, however in return for that further preliminary effort you’ll discover it a lot simpler to debug, replace, and keep your pipeline. To counter the grind of writing loads of express code, you’ll be able to create your pipeline graphs visually with deepset Studio, mentioned under.
The 4 main design objectives of Haystack are to be expertise agnostic, to be express (as we simply mentioned), to be versatile, and to be extensible. The Haystack repo README describes these as follows:
