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Data augmentation with LlamaIndex
Practical AI: Machine Learning, Data Science, LLM
Limitations of Standard Top K Embedding Based Retrieval
Using a vector store is effective for certain types of questions./nRetrieval from the vector store involves generating an embedding for the query and fetching the most relevant items based on semantic similarity./nThe relevance of a context is determined by the distance between embeddings./nStandard top K embedding based retrieval may not be effective in all settings.
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