The answer
The number of tokens or characters shared between consecutive chunks to ensure context isn't lost.
The number of tokens or characters shared between consecutive chunks to ensure context isn't lost.
The number of characters, words, or tokens in each text segment that you embed and store.
Embedding entire pages dilutes semantic specificity. Small chunks isolate specific facts.
Better chunking ensures the LLM receives only highly relevant paragraphs, preventing it from getting distracted by fluff.
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