AngularTwoDimensionalEmbeddings Class — langchain Architecture

Architecture documentation for the AngularTwoDimensionalEmbeddings class in fake_embeddings.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  c418c5f1_ecc0_49bb_d0c4_5905938825df["AngularTwoDimensionalEmbeddings"]
  b1e4f760_c634_d3bf_ca9a_db7ab899cc4a["Embeddings"]
  c418c5f1_ecc0_49bb_d0c4_5905938825df -->|extends| b1e4f760_c634_d3bf_ca9a_db7ab899cc4a
  b656da5c_781f_2669_c8cd_83d309b3feb8["fake_embeddings.py"]
  c418c5f1_ecc0_49bb_d0c4_5905938825df -->|defined in| b656da5c_781f_2669_c8cd_83d309b3feb8
  797a4722_3a38_4d43_be55_fd5fd0f8148c["embed_documents()"]
  c418c5f1_ecc0_49bb_d0c4_5905938825df -->|method| 797a4722_3a38_4d43_be55_fd5fd0f8148c
  74c370b2_64fd_168e_a436_49577824b0b9["embed_query()"]
  c418c5f1_ecc0_49bb_d0c4_5905938825df -->|method| 74c370b2_64fd_168e_a436_49577824b0b9

Relationship Graph

Source Code

libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py lines 71–91

class AngularTwoDimensionalEmbeddings(Embeddings):
    """From angles (as strings in units of pi) to unit embedding vectors on a circle."""

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Make a list of texts into a list of embedding vectors."""
        return [self.embed_query(text) for text in texts]

    @override
    def embed_query(self, text: str) -> list[float]:
        """Convert input text to a 'vector' (list of floats).

        If the text is a number, use it as the angle for the
        unit vector in units of pi.
        Any other input text becomes the singular result [0, 0] !
        """
        try:
            angle = float(text)
            return [math.cos(angle * math.pi), math.sin(angle * math.pi)]
        except ValueError:
            # Assume: just test string, no attention is paid to values.
            return [0.0, 0.0]