mirror of
https://github.com/hwchase17/langchain
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ad502e8d50
Thank you for contributing to LangChain! **Description:** update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates **Twitter handle:** ofermend **Add tests and docs**: no new tests or docs, but updated both existing tests and existing docs
39 lines
718 B
TOML
39 lines
718 B
TOML
[tool.poetry]
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name = "rag-vectara"
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version = "0.2.0"
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description = "RAG using vectara retriever"
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authors = [
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"Ofer Mendelevitch <ofer@vectara.com>",
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]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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langchain = "^0.1"
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openai = "<2"
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tiktoken = "^0.5.1"
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[tool.poetry.group.dev.dependencies]
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langchain-cli = ">=0.0.21"
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[tool.poetry.group.dev.dependencies.python-dotenv]
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extras = [
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"cli",
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]
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version = "^1.0.0"
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[tool.langserve]
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export_module = "rag_vectara"
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export_attr = "chain"
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[tool.templates-hub]
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use-case = "rag"
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author = "Vectara"
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integrations = ["OpenAI", "Vectara"]
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tags = ["vectordbs"]
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[build-system]
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requires = [
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"poetry-core",
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]
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build-backend = "poetry.core.masonry.api"
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