embed_documents() — langchain Function Reference

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

Function python LangChainCore ApiManagement calls 1 called by 2

Entity Profile

LangChainCore→ ApiManagement→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  e151f1ea_3e38_6d9b_73bb_f8e186c0aec3["embed_documents()"]
  7513f7c3_4c62_459e_738a_c4afde0288a1["ConsistentFakeEmbeddings"]
  e151f1ea_3e38_6d9b_73bb_f8e186c0aec3 -->|defined in| 7513f7c3_4c62_459e_738a_c4afde0288a1
  b86271bf_b4fe_f56c_d275_f88094a14a26["embed_query()"]
  b86271bf_b4fe_f56c_d275_f88094a14a26 -->|calls| e151f1ea_3e38_6d9b_73bb_f8e186c0aec3
  60fce543_d0a8_8fd2_9f0d_08825daa878d["embed_documents()"]
  60fce543_d0a8_8fd2_9f0d_08825daa878d -->|calls| e151f1ea_3e38_6d9b_73bb_f8e186c0aec3
  60fce543_d0a8_8fd2_9f0d_08825daa878d["embed_documents()"]
  e151f1ea_3e38_6d9b_73bb_f8e186c0aec3 -->|calls| 60fce543_d0a8_8fd2_9f0d_08825daa878d
  style e151f1ea_3e38_6d9b_73bb_f8e186c0aec3 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/chroma/tests/integration_tests/fake_embeddings.py lines 40–50

    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