embed_documents() — langchain Function Reference

Architecture documentation for the embed_documents() function in embeddings.py from the langchain codebase.

Function python LangChainCore ApiManagement calls 1

Entity Profile

LangChainCore→ ApiManagement→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  99a82c59_97c1_5050_aab0_84a9dd45930a["embed_documents()"]
  0646ce15_0ff5_ff53_3e70_3fd27c663144["NomicEmbeddings"]
  99a82c59_97c1_5050_aab0_84a9dd45930a -->|defined in| 0646ce15_0ff5_ff53_3e70_3fd27c663144
  5d3fe9cb_b3db_545c_9ac3_c09c238b4690["embed()"]
  99a82c59_97c1_5050_aab0_84a9dd45930a -->|calls| 5d3fe9cb_b3db_545c_9ac3_c09c238b4690
  style 99a82c59_97c1_5050_aab0_84a9dd45930a fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/nomic/langchain_nomic/embeddings.py lines 116–126

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Embed search docs.

        Args:
            texts: List of texts to embed as documents

        """
        return self.embed(
            texts=texts,
            task_type="search_document",
        )