langchain-azure-ai: 0.1.1

LangChain integrations for Azure AI.

chat_message_histories

Classes

chat_message_histories.cosmos_db.CosmosDBChatMessageHistory(...)

Chat message history backed by Azure CosmosDB.

chat_models

Classes

chat_models.inference.AzureAIChatCompletionsModel

Azure AI Chat Completions Model.

Functions

chat_models.inference.from_inference_message(message)	Convert an inference message dict to generic message.
chat_models.inference.to_inference_message(...)	Converts a sequence of BaseMessage to ChatRequestMessage.

embeddings

Classes

embeddings.inference.AzureAIEmbeddingsModel

Azure AI model inference for embeddings.

utils

Classes

utils.utils.JSONObjectEncoder(*[, skipkeys, ...])

Custom JSON encoder for objects in LangChain.

Functions

utils.math.cosine_similarity(X, Y)	Row-wise cosine similarity between two equal-width matrices.
utils.math.cosine_similarity_top_k(X, Y[, ...])	Row-wise cosine similarity with optional top-k and score threshold filtering.
utils.utils.get_endpoint_from_project(...)	Retrieves the default inference endpoint and credentials from a project.

vectorstores

Classes

vectorstores.azure_cosmos_db_mongo_vcore.AzureCosmosDBMongoVCoreVectorSearch(...)	Azure Cosmos DB for MongoDB vCore vector store.
vectorstores.azure_cosmos_db_mongo_vcore.CosmosDBSimilarityType(value)	Cosmos DB Similarity Type as enumerator.
vectorstores.azure_cosmos_db_mongo_vcore.CosmosDBVectorSearchType(value)	Cosmos DB Vector Search Type as enumerator.
vectorstores.azure_cosmos_db_no_sql.AzureCosmosDBNoSqlVectorSearch(*, ...)	Azure Cosmos DB for NoSQL vector store.
vectorstores.azure_cosmos_db_no_sql.AzureCosmosDBNoSqlVectorStoreRetriever	Retriever that uses Azure CosmosDB No Sql Search.
vectorstores.azure_cosmos_db_no_sql.Condition	Condition class for PreFilter.
vectorstores.azure_cosmos_db_no_sql.PreFilter	PreFilter class for filters.
vectorstores.cache.AzureCosmosDBMongoVCoreSemanticCache(...)	Cache that uses Cosmos DB Mongo vCore vector-store backend.
vectorstores.cache.AzureCosmosDBNoSqlSemanticCache(...)	Cache that uses Cosmos DB NoSQL backend.
vectorstores.utils.DistanceStrategy(value)	Enumerator of the Distance strategies for calculating distances between vectors.

Functions

vectorstores.utils.filter_complex_metadata(...)	Filter out metadata types that are not supported for a vector store.
vectorstores.utils.maximal_marginal_relevance(...)	Calculate maximal marginal relevance.