langchain/requirements.txt

-r test_requirements.txt
# For integrations
cohere
openai
google-search-results
nlpcloud
playwright
wikipedia
huggingface_hub
faiss
sentence_transformers
# For development
jupyter
initial commit 2 years ago			`-r test_requirements.txt`
Harrison/add huggingface hub (#23) Add support for huggingface hub I could not find a good way to enforce stop tokens over the huggingface hub api - that needs to hopefully be cleaned up in the future 2 years ago			`# For integrations`
initial commit 2 years ago			`cohere`
			`openai`
			`google-search-results`
NLPCloud client integration (#81) lots of kwargs! generation docs here: https://docs.nlpcloud.com/#generation This somewhat breaks the paradigm introduced in LLM base class as the stop sequence isn't a list, and should rightfully be introduced at the time of initialization of the class, along with the other kwargs that depend on its presence (e.g. remove_end_sequence, etc.) curious if you'd want to refactor LLM base class to take out stop as a specific named kwarg? 2 years ago			`nlpcloud`
update readme (#21) 2 years ago			`playwright`
Harrison/add react chain (#24) from https://arxiv.org/abs/2210.03629 still need to think if docstore abstraction makes sense 2 years ago			`wikipedia`
Harrison/add huggingface hub (#23) Add support for huggingface hub I could not find a good way to enforce stop tokens over the huggingface hub api - that needs to hopefully be cleaned up in the future 2 years ago			`huggingface_hub`
FAISS and embedding support (#48) also adds embeddings and an in memory docstore 2 years ago			`faiss`
Issam/hf embeddings (#68) Add support of HuggingFace embedding models 2 years ago			`sentence_transformers`
Harrison/add huggingface hub (#23) Add support for huggingface hub I could not find a good way to enforce stop tokens over the huggingface hub api - that needs to hopefully be cleaned up in the future 2 years ago			`# For development`
			`jupyter`