We have hosted the application agentic rag for dummies in order to run this application in our online workstations with Wine or directly.
Quick description about agentic rag for dummies:
Agentic RAG for Dummies is an educational repository that demonstrates how to build retrieval-augmented generation systems combined with autonomous AI agents. The project explains the principles behind agentic retrieval pipelines where language models can dynamically decide when to retrieve information, analyze results, and plan further actions. Instead of relying on static retrieval pipelines, the system shows how agents can orchestrate retrieval, reasoning, and tool usage in a more flexible decision loop. The repository provides practical examples and tutorials that guide developers through building agentic RAG systems using modern AI frameworks. These examples illustrate how agents can access knowledge bases, retrieve documents, analyze them, and refine their queries during multi-step reasoning processes. The repository focuses on simplifying complex architectural concepts so that beginners can understand how agentic retrieval systems are constructed.Features:
- Educational tutorials explaining agentic retrieval-augmented generation systems
- Example implementations demonstrating dynamic retrieval workflows
- Integration with large language models and knowledge bases
- Multi-step reasoning pipelines that combine retrieval and planning
- Hands-on code examples for building agent-driven RAG applications
- Learning resource for developers studying agent-based AI architectures
Programming Language: Python.
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