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NET 10 IEmbeddingGenerator converts PDFs to vectors without a vector store

By PulseAugur Editorial · [1 sources] ·

A developer has detailed how the IEmbeddingGenerator works within the .NET 10 framework. This process involves breaking down a PDF document into smaller segments, converting these segments into vector embeddings, and then using a question to retrieve ranked results. Notably, this method achieves these functions without the need for a dedicated vector store. AI

IMPACT Enables developers to process and query PDF documents using vector embeddings without requiring a separate vector database.

RANK_REASON Description of a specific software component's functionality.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NET 10 IEmbeddingGenerator converts PDFs to vectors without a vector store

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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    How # IEmbeddingGenerator works in # NET10 : turn a # PDF into chunks, chunks into vectors, and a question into ranked results, with no vector store # csharp #

    How # IEmbeddingGenerator works in # NET10 : turn a # PDF into chunks, chunks into vectors, and a question into ranked results, with no vector store # csharp # microsoft # ai https:// puresourcecode.com/tools/ai/in gesting-data-with-iembeddinggenerator/?utm_source=mastodon&utm_me…

    LINKS puresourcecode.com/…/ingesting-data-with-… puresourcecode.com/…/ingesting-data-with-…

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