from_texts() — langchain Function Reference

Architecture documentation for the from_texts() function in in_memory.py from the langchain codebase.

Function python DataProcessing DocumentLoaders

Entity Profile

DataProcessing→ DocumentLoaders→ from_texts() — langchain Function Reference

Dependency Diagram

graph TD
  ad10ba2f_c99a_7201_212a_5ce9babe6855["from_texts()"]
  6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"]
  ad10ba2f_c99a_7201_212a_5ce9babe6855 -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120
  style ad10ba2f_c99a_7201_212a_5ce9babe6855 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/in_memory.py lines 488–499

    def from_texts(
        cls,
        texts: list[str],
        embedding: Embeddings,
        metadatas: list[dict] | None = None,
        **kwargs: Any,
    ) -> InMemoryVectorStore:
        store = cls(
            embedding=embedding,
        )
        store.add_texts(texts=texts, metadatas=metadatas, **kwargs)
        return store