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https://github.com/hwchase17/langchain
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Aviary is an open source toolkit for evaluating and deploying open source LLMs. You can find out more about it on [http://github.com/ray-project/aviary). You can try it out at [http://aviary.anyscale.com](aviary.anyscale.com). This code adds support for Aviary in LangChain. To minimize dependencies, it connects directly to the HTTP endpoint. The current implementation is not accelerated and uses the default implementation of `predict` and `generate`. It includes a test and a simple example. @hwchase17 and @agola11 could you have a look at this? --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> |
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| .. | ||
| agent | ||
| cache | ||
| callbacks | ||
| chains | ||
| chat_models | ||
| client | ||
| document_loaders | ||
| embeddings | ||
| examples | ||
| llms | ||
| memory | ||
| prompts | ||
| retrievers | ||
| utilities | ||
| vectorstores | ||
| __init__.py | ||
| .env.example | ||
| conftest.py | ||
| test_document_transformers.py | ||
| test_nlp_text_splitters.py | ||
| test_pdf_pagesplitter.py | ||
| test_schema.py | ||
| test_text_splitter.py | ||