Insight AgentEnterprise AI
AI-powered enterprise search and knowledge assistant
A smarter way to find Oracle solutions.
Insight Agent is an AI-powered search and knowledge assistant for the Cloud Developer Portal (CDP). It helps users quickly find relevant Oracle implementation assets such as reports, integrations, conversions, fast formulas, and more using semantic search, RAG and LLM reasoning.
- Design & implementation
- Python, Anthropic Claude, Cohere embeddings, Oracle vector search, SQL, RAG
- Enterprise Tool
Finding the right asset was time-consuming.
Users struggled to find relevant and trusted Oracle solutions due to keyword-based search limitations, scattered information, and lack of context. This led to duplicated effort, inconsistent recommendations, and slower development cycles.
- Keyword search returned irrelevant results
- Assets were scattered and hard to discover
- Users needed more context and guidance
- No easy way to compare or understand assets
Semantic search with RAG and AI reasoning.
Insight Agent uses vector embeddings and Retrieval-Augmented Generation (RAG) to understand user intent and provide relevant, contextual results from the CDP database. It combines semantic search with LLM reasoning to deliver accurate answers and helpful recommendations.
- User Question
- Embedding
- Vector Search (Oracle)
- Relevant Assets + Metadata
- LLM (Anthropic Claude)
- Contextual Answer
Results
35%
Overall improvement from semantic and vector search over keyword search.
5,000+
Assets and tools searchable by meaning across the Cloud Developer Portal.
Built with
Python · Anthropic Claude · Cohere · Oracle vector search · SQL · RAG
What I took from it
Semantic search matters
Vector embeddings significantly improve result relevance.
Context is everything
Combining metadata with AI reasoning delivers more accurate answers.
Enterprise readiness
Guardrails, access control, and performance optimization are essential for real-world usage.