diff --git a/.doctrees/developer_notes/index.doctree b/.doctrees/developer_notes/index.doctree index 07d03954..e499ac57 100644 Binary files a/.doctrees/developer_notes/index.doctree and b/.doctrees/developer_notes/index.doctree differ diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index f536e07a..06e25042 100644 Binary files a/.doctrees/environment.pickle and b/.doctrees/environment.pickle differ diff --git a/_sources/developer_notes/index.rst.txt b/_sources/developer_notes/index.rst.txt index bd92915a..b53249c8 100644 --- a/_sources/developer_notes/index.rst.txt +++ b/_sources/developer_notes/index.rst.txt @@ -76,6 +76,7 @@ Code path: :ref:`lightrag.core `. RAG Essentials ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + RAG components ^^^^^^^^^^^^^^^^^^^ @@ -98,7 +99,6 @@ Code path: :ref:`lightrag.core`. For abstract classes: - ``ModelClient`` is the protocol and base class for LightRAG to **integrate all models**, either APIs or local, LLMs or Embedding models or any others. * - :doc:`generator` - The orchestrator for LLM prediction. It streamlines three components: `ModelClient`, `Prompt`, and `output_processors` and works with optimizer for prompt optimization. - - The **center component** that orchestrates the model client(LLMs in particular), prompt, and output processors for format parsing or any post processing. * - :doc:`output_parsers` - The component that parses the output string to structured data. * - :doc:`embedder` @@ -106,6 +106,7 @@ Code path: :ref:`lightrag.core`. For abstract classes: * - :doc:`retriever` - The base class for all retrievers who in particular retrieve relevant documents from a given database to add **context** to the generator. + Data Pipeline and Storage ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ diff --git a/developer_notes/index.html b/developer_notes/index.html index d18c5a19..812ff632 100644 --- a/developer_notes/index.html +++ b/developer_notes/index.html @@ -511,6 +511,38 @@

RAG componentsModelClient: the functional subclass is in lightrag.components.model_client.

  • Retriever: the functional subclass is in lightrag.components.retriever.

    • +
    ++++ + + + + + + + + + + + + + + + + + + + + + + + + + +

    Part

    Description

    Prompt

    Built on jinja2, it programmatically and flexibly formats prompts as input to the generator.

    ModelClient

    ModelClient is the protocol and base class for LightRAG to integrate all models, either APIs or local, LLMs or Embedding models or any others.

    Generator

    The orchestrator for LLM prediction. It streamlines three components: ModelClient, Prompt, and output_processors and works with optimizer for prompt optimization.

    Parser

    The component that parses the output string to structured data.

    Embedder

    The component that orchestrates model client (Embedding models in particular) and output processors.

    Retriever

    The base class for all retrievers who in particular retrieve relevant documents from a given database to add context to the generator.

    +

    Data Pipeline and Storage#

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