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    Pythonlangchain-classicindexes
    Module●Since v1.0

    indexes

    Indexes.

    Index is used to avoid writing duplicated content into the vectostore and to avoid over-writing content if it's unchanged.

    Indexes also :

    • Create knowledge graphs from data.

    • Support indexing workflows from LangChain data loaders to vectorstores.

    Importantly, Index keeps on working even if the content being written is derived via a set of transformations from some source content (e.g., indexing children documents that were derived from parent documents by chunking.)

    Attributes

    attribute
    DEPRECATED_LOOKUP: dict

    Functions

    function
    create_importer

    Create a function that helps retrieve objects from their new locations.

    The goal of this function is to help users transition from deprecated imports to new imports.

    The function will raise deprecation warning on loops using deprecated_lookups or fallback_module.

    Module lookups will import without deprecation warnings (used to speed up imports from large namespaces like llms or chat models).

    This function should ideally only be used with deprecated imports not with existing imports that are valid, as in addition to raising deprecation warnings the dynamic imports can create other issues for developers (e.g., loss of type information, IDE support for going to definition etc).

    Classes

    class
    SQLRecordManager

    A SQL Alchemy based implementation of the record manager.

    class
    VectorstoreIndexCreator

    Logic for creating indexes.

    Modules

    module
    graph

    Graphs provide a natural language interface to graph databases.

    module
    vectorstore

    Vectorstore stubs for the indexing api.

    module
    prompts

    Relevant prompts for constructing indexes.

    View source on GitHub