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Final L&L Blog Updte #6

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Jan 17, 2025
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6 changes: 3 additions & 3 deletions rag_semantic_chunking/experiment_rag_semantic_chunking.ipynb
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"source": [
"# L&L Blog Series - RAG Semantic Chunking Experiment\n",
"\n",
"Did the lunch & learn blog series bring you here? If not, you should definitely check it out [here]().\n",
"\n",
"In this experiment, we'll compare the simplest chunking method, fixed-size chunking, with the improvements offered by semantic chunking.\n",
"\n",
"The goal of semantic chunking is to create meaningful and context-aware chunks.\n",
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"\n",
"This step is crucial because it transforms our text data into a format that allows us to measure how similar or different the sentences are from one another.\n",
"\n",
"We will use Cohere's embedding API for to generate our embeddings."
"We will use Cohere's embedding API for to generate our embeddings which you can get an API key [here](https://dashboard.cohere.com/api-keys).\n",
"\n",
"> NOTE: It will prompt you for an API key when you run the below block of code."
]
},
{
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