Our other publications
Building a Custom BPM Worklist, Oracle InSync 2011 User Group presentation
Performance Tuning for Oracle Business Process Management Suite 10g, Oracle Whitepaper, July 2011
Performance Tuning for Oracle Business Process Management Suite 11g, Oracle Whitepaper, February 2013
Oracle BPM Suite 11g: Advanced BPMN Topics, Packt Publishing, September 2012
Fusion Middleware 12.1.2: Developing Applications with Continuous Integration
Fusion Middleware 12.1.3: Developing Applications with Continuous Integration
Tag Archives: langchain
Implementing GraphRAG with Oracle AI Database 26ai: SQL Property Graphs, Vector Search, and Automated Graph Extraction
Key Takeaways Standard vector Retrieval-Augmented Generation, or RAG, retrieves chunks that are semantically similar to a question. That works well when the answer appears in a compact passage whose wording is close to the question. It becomes harder to inspect … Continue reading
Basic Retrieval Augmented Generation with Oracle Vector Store in LangChain
In this earlier post, we learned how to create a Vector Store in Oracle from LangChain, the hugely popular Python library for working with Generative AI and Large Language Models. We populated it with a little data and then performed … Continue reading
Posted in Uncategorized
Tagged ai, artificial-intelligence, langchain, llm, python, rag, technology
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Getting started with Oracle Vector Store support in LangChain
In this post, I would like to show you the basics of how to use the Oracle Vector Store support in LangChain. I am using Visual Studio Code with the Python and Jupyter extensions from Microsoft installed. I will show … Continue reading
Posted in Uncategorized
Tagged ai, artificial-intelligence, langchain, llm, oracle, rag, semantic-search, vector-store
1 Comment
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