embed_documents() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1 called by 3

Entity Profile

LangChainCore→ Runnables→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  c7906a5b_be59_8e0f_0985_35c80ce0e933["embed_documents()"]
  82fdec4c_643f_ba88_9e2f_3cca83facf7d["ConsistentFakeEmbeddings"]
  c7906a5b_be59_8e0f_0985_35c80ce0e933 -->|defined in| 82fdec4c_643f_ba88_9e2f_3cca83facf7d
  bfd25742_f7e1_933a_a6df_484d09d2f8b2["embed_query()"]
  bfd25742_f7e1_933a_a6df_484d09d2f8b2 -->|calls| c7906a5b_be59_8e0f_0985_35c80ce0e933
  b9e09bee_ce68_fd2b_005f_81e22de97c53["embed_documents()"]
  b9e09bee_ce68_fd2b_005f_81e22de97c53 -->|calls| c7906a5b_be59_8e0f_0985_35c80ce0e933
  5369e966_8af1_33ce_87ff_9b00c71877a5["embed_query()"]
  5369e966_8af1_33ce_87ff_9b00c71877a5 -->|calls| c7906a5b_be59_8e0f_0985_35c80ce0e933
  b9e09bee_ce68_fd2b_005f_81e22de97c53["embed_documents()"]
  c7906a5b_be59_8e0f_0985_35c80ce0e933 -->|calls| b9e09bee_ce68_fd2b_005f_81e22de97c53
  style c7906a5b_be59_8e0f_0985_35c80ce0e933 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/tests/integration_tests/common.py lines 42–52

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Return consistent embeddings for each text seen so far."""
        out_vectors = []
        for text in texts:
            if text not in self.known_texts:
                self.known_texts.append(text)
            vector = [1.0] * (self.dimensionality - 1) + [
                float(self.known_texts.index(text))
            ]
            out_vectors.append(vector)
        return out_vectors