Skip to main content

OracleAI Vector Search

Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefits of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems.

In addition, your vectors can benefit from all of Oracle Database’s most powerful features, like the following:

Document Loaders​

Please check the usage example.

from langchain_community.document_loaders.oracleai import OracleDocLoader

API Reference:

Text Splitter​

Please check the usage example.

from langchain_community.document_loaders.oracleai import OracleTextSplitter

API Reference:

Embeddings​

Please check the usage example.

from langchain_community.embeddings.oracleai import OracleEmbeddings

API Reference:

Summary​

Please check the usage example.

from langchain_community.utilities.oracleai import OracleSummary

API Reference:

Vector Store​

Please check the usage example.

from langchain_community.vectorstores.oraclevs import OracleVS

API Reference:

End to End Demo​

Please check the Oracle AI Vector Search End-to-End Demo Guide.

Was this page helpful?


You can leave detailed feedback on GitHub.