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datasets.ipynb
datasets.ipynb
 
 
evaluation_of_rag_with_ragas.ipynb
evaluation_of_rag_with_ragas.ipynb
 
 
evaluation_with_langchain.ipynb
evaluation_with_langchain.ipynb
 
 
evaluation_with_uptrain.ipynb
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example_decorator_openai_langchain.ipynb
example_decorator_openai_langchain.ipynb
 
 
example_external_evaluation_pipelines.ipynb
example_external_evaluation_pipelines.ipynb
 
 
example_llm_security_monitoring.ipynb
example_llm_security_monitoring.ipynb
 
 
integration_azure_openai_langchain.ipynb
integration_azure_openai_langchain.ipynb
 
 
integration_haystack.ipynb
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integration_instructor.ipynb
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integration_langchain.ipynb
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integration_langgraph.ipynb
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integration_langserve.ipynb
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integration_litellm_proxy.ipynb
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integration_llama-index.ipynb
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integration_llama-index_milvus-lite.ipynb
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integration_mirascope.ipynb
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integration_ollama.ipynb
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integration_openai_assistants.ipynb
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integration_openai_sdk.ipynb
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integration_openai_structured_output.ipynb
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js_integration_langchain.ipynb
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js_integration_litellm_proxy.ipynb
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js_integration_openai.ipynb
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js_prompt_management_langchain.ipynb
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js_tracing_example_vercel_ai_sdk.ipynb
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langfuse_sdk_performance_test.ipynb
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prompt_management_langchain.ipynb
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prompt_management_openai_functions.ipynb
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python_decorators.ipynb
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python_sdk_low_level.ipynb
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README.md

Cookbook JS

Setup

We use poetry to create a venv and install the required packages.

poetry install

The JS cookbooks are written in TypeScript and run using Deno. To install Deno and the Deno Jupyter Kernel, run the following commands:

brew install deno
poetry shell
deno jupyter --unstable

Start the notebook server with the following command:

poetry run jupyter notebook