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Thank you for contributing to LangChain! Documentation change for OracleDB Fixed several things in Oracle Documentation.
68 lines
3.0 KiB
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68 lines
3.0 KiB
Plaintext
# OracleAI Vector Search
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Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords.
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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.
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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.
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In addition, your vectors can benefit from all of Oracle Database’s most powerful features, like the following:
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* [Partitioning Support](https://www.oracle.com/database/technologies/partitioning.html)
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* [Real Application Clusters scalability](https://www.oracle.com/database/real-application-clusters/)
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* [Exadata smart scans](https://www.oracle.com/database/technologies/exadata/software/smartscan/)
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* [Shard processing across geographically distributed databases](https://www.oracle.com/database/distributed-database/)
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* [Transactions](https://docs.oracle.com/en/database/oracle/oracle-database/23/cncpt/transactions.html)
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* [Parallel SQL](https://docs.oracle.com/en/database/oracle/oracle-database/21/vldbg/parallel-exec-intro.html#GUID-D28717E4-0F77-44F5-BB4E-234C31D4E4BA)
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* [Disaster recovery](https://www.oracle.com/database/data-guard/)
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* [Security](https://www.oracle.com/security/database-security/)
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* [Oracle Machine Learning](https://www.oracle.com/artificial-intelligence/database-machine-learning/)
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* [Oracle Graph Database](https://www.oracle.com/database/integrated-graph-database/)
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* [Oracle Spatial and Graph](https://www.oracle.com/database/spatial/)
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* [Oracle Blockchain](https://docs.oracle.com/en/database/oracle/oracle-database/23/arpls/dbms_blockchain_table.html#GUID-B469E277-978E-4378-A8C1-26D3FF96C9A6)
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* [JSON](https://docs.oracle.com/en/database/oracle/oracle-database/23/adjsn/json-in-oracle-database.html)
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## Document Loaders
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Please check the [usage example](/docs/integrations/document_loaders/oracleai).
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```python
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from langchain_community.document_loaders.oracleai import OracleDocLoader
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```
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## Text Splitter
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Please check the [usage example](/docs/integrations/document_loaders/oracleai).
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```python
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from langchain_community.document_loaders.oracleai import OracleTextSplitter
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```
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## Embeddings
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Please check the [usage example](/docs/integrations/text_embedding/oracleai).
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```python
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from langchain_community.embeddings.oracleai import OracleEmbeddings
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```
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## Summary
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Please check the [usage example](/docs/integrations/tools/oracleai).
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```python
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from langchain_community.utilities.oracleai import OracleSummary
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```
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## Vector Store
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Please check the [usage example](/docs/integrations/vectorstores/oracle).
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```python
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from langchain_community.vectorstores.oraclevs import OracleVS
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```
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## End to End Demo
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Please check the [Oracle AI Vector Search End-to-End Demo Guide](https://github.com/langchain-ai/langchain/blob/master/cookbook/oracleai_demo.ipynb).
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