Skip to content

[Store] Load, split and normalize documentsΒ #24

@chr-hertel

Description

@chr-hertel

A common use-case for populating a vector store is to load the content as documents from a source and manipulate them while doing so, e.g. splitting into multiple chunks, normalizing the language, or summarizing.

I'd guess that In the end the LoaderInterface should spit out a iterable<TextDocument> that is then handed over to the Embedder (rename to Indexer?)

Metadata

Metadata

Assignees

No one assigned

    Labels

    FeatureNew featureHelp wantedExtra attention is neededStoreIssues & PRs about the AI Store component

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions