Enhancing Blog Post Search with Chunk-based Embeddings and Pinecone
Read OriginalThis technical article details an improved method for searching a blog database by chunking articles into 400-token pieces, generating embeddings for each chunk via OpenAI, and storing them in Pinecone. It contrasts this with a less effective single-embedding approach, explaining how chunking provides more accurate search results and avoids token limits in API calls.
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