Runnables
Browse all 2640 subdomain entities categorized under Runnables in the langchain Architecture Docs architecture documentation.
visit_Call() — langchain Function Reference
Architecture documentation for the visit_Call() function in utils.py from the langchain codebase.
visit_FunctionDef() — langchain Function Reference
Architecture documentation for the visit_FunctionDef() function in utils.py from the langchain codebase.
visit_FunctionDef() — langchain Function Reference
Architecture documentation for the visit_FunctionDef() function in utils.py from the langchain codebase.
visit_Lambda() — langchain Function Reference
Architecture documentation for the visit_Lambda() function in utils.py from the langchain codebase.
visit_Lambda() — langchain Function Reference
Architecture documentation for the visit_Lambda() function in utils.py from the langchain codebase.
visit_Lambda() — langchain Function Reference
Architecture documentation for the visit_Lambda() function in utils.py from the langchain codebase.
visit_Name() — langchain Function Reference
Architecture documentation for the visit_Name() function in utils.py from the langchain codebase.
visit_Subscript() — langchain Function Reference
Architecture documentation for the visit_Subscript() function in utils.py from the langchain codebase.
langchain_community() — langchain Function Reference
Architecture documentation for the langchain_community() function in vearch.py from the langchain codebase.
__getattr__() — langchain Function Reference
Architecture documentation for the __getattr__() function in vectara.py from the langchain codebase.
langchain_community() — langchain Function Reference
Architecture documentation for the langchain_community() function in vectara.py from the langchain codebase.
aclear() — langchain Function Reference
Architecture documentation for the aclear() function in vectorstore.py from the langchain codebase.
aquery() — langchain Function Reference
Architecture documentation for the aquery() function in vectorstore.py from the langchain codebase.
from_documents() — langchain Function Reference
Architecture documentation for the from_documents() function in vectorstore.py from the langchain codebase.
_get_in_memory_vectorstore() — langchain Function Reference
Architecture documentation for the _get_in_memory_vectorstore() function in vectorstore.py from the langchain codebase.
load_memory_variables() — langchain Function Reference
Architecture documentation for the load_memory_variables() function in vectorstore.py from the langchain codebase.
memory_variables() — langchain Function Reference
Architecture documentation for the memory_variables() function in vectorstore.py from the langchain codebase.
save_context() — langchain Function Reference
Architecture documentation for the save_context() function in vectorstore.py from the langchain codebase.
_pop_and_store_interaction() — langchain Function Reference
Architecture documentation for the _pop_and_store_interaction() function in vectorstore_token_buffer_memory.py from the langchain codebase.
save_context() — langchain Function Reference
Architecture documentation for the save_context() function in vectorstore_token_buffer_memory.py from the langchain codebase.
aadd_texts() — langchain Function Reference
Architecture documentation for the aadd_texts() function in vectorstores.py from the langchain codebase.
aconstruct_instance() — langchain Function Reference
Architecture documentation for the aconstruct_instance() function in vectorstores.py from the langchain codebase.
_aembed_texts() — langchain Function Reference
Architecture documentation for the _aembed_texts() function in vectorstores.py from the langchain codebase.
amax_marginal_relevance_search_by_vector() — langchain Function Reference
Architecture documentation for the amax_marginal_relevance_search_by_vector() function in vectorstores.py from the langchain codebase.
asimilarity_search_by_vector() — langchain Function Reference
Architecture documentation for the asimilarity_search_by_vector() function in vectorstores.py from the langchain codebase.
delete() — langchain Function Reference
Architecture documentation for the delete() function in vectorstores.py from the langchain codebase.
_document_from_scored_point() — langchain Function Reference
Architecture documentation for the _document_from_scored_point() function in vectorstores.py from the langchain codebase.
_embed_query() — langchain Function Reference
Architecture documentation for the _embed_query() function in vectorstores.py from the langchain codebase.
embeddings() — langchain Function Reference
Architecture documentation for the embeddings() function in vectorstores.py from the langchain codebase.
fork() — langchain Function Reference
Architecture documentation for the fork() function in vectorstores.py from the langchain codebase.
from_documents() — langchain Function Reference
Architecture documentation for the from_documents() function in vectorstores.py from the langchain codebase.
from_existing_collection() — langchain Function Reference
Architecture documentation for the from_existing_collection() function in vectorstores.py from the langchain codebase.
get_embeddings() — langchain Function Reference
Architecture documentation for the get_embeddings() function in vectorstores.py from the langchain codebase.
has_async() — langchain Function Reference
Architecture documentation for the has_async() function in vectorstores.py from the langchain codebase.
has_get_by_ids() — langchain Function Reference
Architecture documentation for the has_get_by_ids() function in vectorstores.py from the langchain codebase.
has_sync() — langchain Function Reference
Architecture documentation for the has_sync() function in vectorstores.py from the langchain codebase.
hybrid_search() — langchain Function Reference
Architecture documentation for the hybrid_search() function in vectorstores.py from the langchain codebase.
__init__() — langchain Function Reference
Architecture documentation for the __init__() function in vectorstores.py from the langchain codebase.
__init__() — langchain Function Reference
Architecture documentation for the __init__() function in vectorstores.py from the langchain codebase.
max_marginal_relevance_search() — langchain Function Reference
Architecture documentation for the max_marginal_relevance_search() function in vectorstores.py from the langchain codebase.
max_marginal_relevance_search_by_vector() — langchain Function Reference
Architecture documentation for the max_marginal_relevance_search_by_vector() function in vectorstores.py from the langchain codebase.
reset_collection() — langchain Function Reference
Architecture documentation for the reset_collection() function in vectorstores.py from the langchain codebase.
_results_to_docs_and_scores() — langchain Function Reference
Architecture documentation for the _results_to_docs_and_scores() function in vectorstores.py from the langchain codebase.
_results_to_docs_and_vectors() — langchain Function Reference
Architecture documentation for the _results_to_docs_and_vectors() function in vectorstores.py from the langchain codebase.
_results_to_docs() — langchain Function Reference
Architecture documentation for the _results_to_docs() function in vectorstores.py from the langchain codebase.
_select_relevance_score_fn() — langchain Function Reference
Architecture documentation for the _select_relevance_score_fn() function in vectorstores.py from the langchain codebase.
similarity_search_by_vector_with_relevance_scores() — langchain Function Reference
Architecture documentation for the similarity_search_by_vector_with_relevance_scores() function in vectorstores.py from the langchain codebase.
_similarity_search_with_relevance_scores() — langchain Function Reference
Architecture documentation for the _similarity_search_with_relevance_scores() function in vectorstores.py from the langchain codebase.
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