langchain-postgres: 0.0.14

chat_message_histories

Classes

chat_message_histories.PostgresChatMessageHistory(...)

Client for persisting chat message history in a Postgres database,

translator

Classes

translator.PGVectorTranslator()

Translate PGVector internal query language elements to valid filters.

utils

Functions

utils.pgvector_migrator.aextract_pgvector_collection(...)	Extract all data belonging to a PGVector collection.
utils.pgvector_migrator.alist_pgvector_collection_names(engine)	Lists all collection names present in PGVector table.
utils.pgvector_migrator.amigrate_pgvector_collection(...)	Migrate all data present in a PGVector collection to use separate tables for each collection.
utils.pgvector_migrator.extract_pgvector_collection(...)	Extract all data belonging to a PGVector collection.
utils.pgvector_migrator.list_pgvector_collection_names(engine)	Lists all collection names present in PGVector table.
utils.pgvector_migrator.migrate_pgvector_collection(...)	Migrate all data present in a PGVector collection to use separate tables for each collection.

v2

Classes

v2.async_vectorstore.AsyncPGVectorStore(key, ...)	Postgres Vector Store class
v2.engine.Column(name, data_type[, nullable])
v2.engine.ColumnDict
v2.engine.PGEngine(key, pool, loop, thread)	A class for managing connections to a Postgres database.
v2.indexes.BaseIndex(name, index_type, ...)	Abstract base class for defining vector indexes.
v2.indexes.DistanceStrategy(value)	Enumerator of the Distance strategies.
v2.indexes.ExactNearestNeighbor(name, ...)
v2.indexes.HNSWIndex(name, index_type, ...)
v2.indexes.HNSWQueryOptions([ef_search])
v2.indexes.IVFFlatIndex(name, index_type, ...)
v2.indexes.IVFFlatQueryOptions([probes])
v2.indexes.QueryOptions()
v2.indexes.StrategyMixin(operator, ...)
v2.vectorstores.PGVectorStore(key, engine, vs)	Postgres Vector Store class

Functions

v2.indexes.validate_identifier(identifier)

vectorstores

Classes

vectorstores.DistanceStrategy(value)	Enumerator of the Distance strategies.
vectorstores.PGVector(embeddings, *[, ...])	Postgres vector store integration.