AI Infrastructure · PyPI

oracle-ragcli

Production RAG system with multi-agent reasoning, knowledge graph, and hybrid search for Oracle DB 26ai

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Details

Author
jasperan
GitHub profile
@jasperan
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/jasperan/ragcli
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@jasperan

Overview

Production RAG system with multi-agent reasoning, knowledge graph, and hybrid search for Oracle DB 26ai

Quick start

pip

pip install oracle-ragcli

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What oracle-ragcli can do

agentragmulti-agentaireasoning
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Rag — Retrieves grounded context before answering.
  • Multi Agent — multi-agent task automation.
  • Ai — ai task automation.
  • Reasoning — Works through multi-step problems with explicit logic.

Frequently asked questions

What is oracle-ragcli?
Production RAG system with multi-agent reasoning, knowledge graph, and hybrid search for Oracle DB 26ai
How do I install oracle-ragcli?
Use pip: `pip install oracle-ragcli`. Full setup details on the source page linked above.
Is oracle-ragcli open source?
oracle-ragcli is published on PyPI.
What are alternatives to oracle-ragcli?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for oracle-ragcli is sourced from PyPI, published by jasperan.

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