It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.Installation‚ÄãInstall the Python package with pip install pgvectorSetup‚ÄãThe first step is to create a database with the pgvector extension installed.Follow the steps at PGVector Installation Steps to install the database and the extension. The docker image is the easiest way to get started.Wrappers‚ÄãVectorStore‚ÄãThere exists a wrapper around Postgres vector databases, allowing you to use it as a vectorstore,
whether for semantic search or example selection.To import this vectorstore:from langchain.vectorstores.pgvector import PGVectorUsage‚ÄãFor a more detailed walkthrough of the PGVector Wrapper, see this notebookPreviousPostgres EmbeddingNextPineconeInstallationSetupWrappersVectorStoreUsageCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This page covers how to use the Postgres PGVector ecosystem within LangChain
This page covers how to use the Postgres PGVector ecosystem within LangChain ->: It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.Installation‚ÄãInstall the Python package with pip install pgvectorSetup‚ÄãThe first step is to create a database with the pgvector extension installed.Follow the steps at PGVector Installation Steps to install the database and the extension. The docker image is the easiest way to get started.Wrappers‚ÄãVectorStore‚ÄãThere exists a wrapper around Postgres vector databases, allowing you to use it as a vectorstore,
whether for semantic search or example selection.To import this vectorstore:from langchain.vectorstores.pgvector import PGVectorUsage‚ÄãFor a more detailed walkthrough of the PGVector Wrapper, see this notebookPreviousPostgres EmbeddingNextPineconeInstallationSetupWrappersVectorStoreUsageCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.