Harrison Chase
c02eb199b6
add few shot example ( #148 )
2022-11-19 20:32:45 -08:00
Harrison Chase
9f223e6ccc
Harrison/fix lint ( #138 )
2022-11-14 08:55:59 -08:00
Delip Rao
76cecf8165
A fix for Jupyter environment variable issue ( #135 )
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- fixes the Jupyter environment variable issues mentioned in issue #134
- fixes format/lint issues in some unrelated files (from make
format/lint)
![image](https://user-images.githubusercontent.com/347398/201599322-090af858-362d-4d69-bf59-208aea65419a.png )
2022-11-14 08:34:01 -08:00
Harrison Chase
f23b3ceb49
consolidate run functions ( #126 )
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consolidating logic for when a chain is able to run with single input
text, single output text
open to feedback on naming, logic, usefulness
2022-11-13 18:14:35 -08:00
Harrison Chase
d87e73ddb1
huggingface tokenizer ( #75 )
2022-11-13 09:37:44 -08:00
Harrison Chase
e43534d41c
add integration with manifest ( #62 )
2022-11-10 11:24:11 -08:00
tomeras91
d8734ce5ad
Add AI21 LLMs ( #99 )
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Integrate AI21 /complete API into langchain, to allow access to Jurassic
models.
2022-11-10 08:12:28 -08:00
Samantha Whitmore
a0780cc930
OptimizedPrompt -- k-shot example choice backed by semantic search ( #91 )
2022-11-09 21:15:42 -08:00
Delip Rao
3ee6e332dd
Implements NLTK and Spacy-based TextSplitters ( #103 )
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This PR is for Issue #88
- [x] `make format`
- [x] `make lint`
- [x] `make tests`
2022-11-09 20:45:30 -08:00
issam9
28282ad099
Issam9/cohere embeddings ( #105 )
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Add support for cohere embeddings
2022-11-09 13:44:27 -08:00
Delip Rao
95dd2f140e
Make Integration Tests "work" again ( #106 )
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This fixes Issue #104
The tests for HF Embeddings is skipped because of the segfault issue
mentioned there. Perhaps, a new issue should be created for that?
2022-11-09 13:26:58 -08:00
Harrison Chase
b9f61390e9
add text2text generation ( #93 )
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fixes issue #90
2022-11-08 18:08:46 -08:00
Samantha Whitmore
efbc03bda8
NLPCloud client integration ( #81 )
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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?
2022-11-08 06:24:23 -08:00
issam9
990cd821cc
Issam/hf embeddings ( #68 )
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Add support of HuggingFace embedding models
2022-11-07 05:46:44 -08:00
Harrison Chase
76aff023d7
FAISS and embedding support ( #48 )
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also adds embeddings and an in memory docstore
2022-11-01 21:29:39 -07:00
Harrison Chase
e982cf4b2e
Harrison/update docstore ( #47 )
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change docstore interface
2022-10-31 21:18:52 -07:00
Harrison Chase
af81e9ca9c
add sql database ( #35 )
2022-10-27 23:21:47 -07:00
Harrison Chase
ce7b14b843
Harrison/add react chain ( #24 )
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from https://arxiv.org/abs/2210.03629
still need to think if docstore abstraction makes sense
2022-10-26 21:02:23 -07:00
Harrison Chase
020c42dcae
Harrison/add huggingface hub ( #23 )
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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
2022-10-25 22:00:33 -07:00
Harrison Chase
d2fdcba29d
fix test name ( #22 )
2022-10-25 20:22:16 -07:00
Harrison Chase
18aeb72012
initial commit
2022-10-24 14:51:15 -07:00