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Nov 22, 2023
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update link #71

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8 changes: 4 additions & 4 deletions docs/source/notebooks/retrieval/langchain_docs_qa.ipynb
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Expand Up @@ -8,7 +8,7 @@
"# Q&A over LangChain Docs\n",
"[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain-benchmarks/blob/main/docs/source/notebooks/retrieval/langchain_docs_qa.ipynb)\n",
"\n",
"Let's evaluate your architecture on a Q&A dataset for the LangChain python docs. For more examples of how to test different embeddings, indexing strategies, and architectures, see the [Evaluating RAG Architectures on Benchmark Tasks](rag_evaluations.ipynb) notebook.\n",
"Let's evaluate your architecture on a Q&A dataset for the LangChain python docs. For more examples of how to test different embeddings, indexing strategies, and architectures, see the [Evaluating RAG Architectures on Benchmark Tasks](./comparing_techniques.ipynb) notebook.\n",
"\n",
"## Pre-requisites\n",
"\n",
Expand All @@ -26,8 +26,8 @@
},
"outputs": [],
"source": [
"# %pip install -U --quiet langchain langsmith langchainhub langchain_benchmarks\n",
"# %pip install --quiet chromadb openai huggingface pandas langchain_experimental sentence_transformers pyarrow anthropic tiktoken"
"%pip install -U --quiet langchain langsmith langchainhub langchain_benchmarks\n",
"%pip install --quiet chromadb openai huggingface pandas langchain_experimental sentence_transformers pyarrow anthropic tiktoken"
]
},
{
Expand Down Expand Up @@ -756,4 +756,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}