Oracle AI RFP Response

Oracle LAD A-Team
Cristiano Hoshikawa
cristiano.hoshikawa@oracle.com

Tutorial: https://docs.oracle.com/en/learn/oci-genai-pdf
REST Service Endpoint: http://demo-orcl-api-ai.hoshikawa.com.br:8101/chat

Overview

This application provides an AI-assisted RFP response engine for Oracle Cloud Infrastructure (OCI). It analyzes natural language requirements and returns a structured, evidence-based technical response.

Official Oracle technical documentation
Semantic search using vector embeddings
Knowledge Graph signals
Large Language Models (LLMs)

Try It — Live RFP Question

Enter an RFP requirement or technical question below. The API will return a structured JSON response.

AI Response

REST API Usage

The service exposes a POST endpoint that accepts a JSON payload.


        curl -X POST http://demo-orcl-api-ai.hoshikawa.com.br:8101/chat \
        -H "Content-Type: application/json" \
        -d '{
        "question": "Does Oracle Cloud Infrastructure (OCI) Compute support online resizing of memory for running virtual machine instances?"
        }'

Request Parameters

question (string)
Natural language description of an RFP requirement or technical capability. Small wording changes may affect how intent and evidence are interpreted.

AI Response JSON Structure

The API always returns a strict and normalized JSON structure, designed for traceability, auditing, and human validation.

answer

Final assessment of the requirement: YES, NO, or PARTIAL. A NO means the requirement is not explicitly satisfied as written.

confidence

Indicates the strength of the supporting evidence: HIGH, MEDIUM, or LOW.

ambiguity_detected

Flags whether the requirement is vague, overloaded, or open to interpretation.

confidence_reason

Short explanation justifying the confidence level.

justification

Technical rationale connecting the evidence to the requirement. This is not marketing text.

evidence

List of supporting references:

quote – Exact extracted text
source – URL or document reference

Important Notes

Responses are generated by an LLM. Even with low temperature, minor variations may occur across executions.
Results depend on wording, terminology, and framing of the requirement.
In many RFPs, an initial NO can be reframed into a valid YES by mapping the requirement to the correct OCI service.
Human review is mandatory. This tool supports architects and RFP teams — it does not replace them.

GraphRAG • Oracle Autonomous Database 23ai • Embeddings • Knowledge Graph • LLM • Flask API

🧠 Oracle AI RFP Response