exp docs

docs/index.md

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-# Mini LLM Flow
+> This is my helpful note
-
+{: .note }
-A [100-line](https://github.com/zachary62/miniLLMFlow/blob/main/minillmflow/__init__.py) minimalist LLM framework for *Agents, Task Decomposition, RAG, etc*.
-
-
-We model the LLM workflow as a **Nested Directed Graph**:
-- **Nodes** handle simple (LLM) tasks.
-- Nodes connect through **Actions** (labeled edges) for *Agents*.  
-- **Flows** orchestrate a directed graph of Nodes for *Task Decomposition*.
-- A Flow can be used as a Node (for **Nesting**).
-- **Batch** Nodes/Flows for data-intensive tasks.
-- **Async** Nodes/Flows allow waits or **Parallel** execution
-
-
-<div align="center">
-  <img src="https://github.com/zachary62/miniLLMFlow/blob/main/assets/minillmflow.jpg?raw=true" width="400"/>
-</div>
-
-
-{: .note }
-> Have questions? Chat with [AI Assistant](https://chatgpt.com/g/g-677464af36588191b9eba4901946557b-mini-llm-flow-assistant)
-
-
-
-## Core Abstraction
-
-- [Node](./node.md)
-- [Flow](./flow.md)
-- [Communication](./communication.md)
-- [Batch](./batch.md)
-- [(Advanced) Async](./async.md)
-- [(Advanced) Parallel](./parallel.md)
-
-## Low-Level Details
-
-- [LLM Wrapper](./llm.md)
-- [Tool](./tool.md)
-
-
-{: .warning }
-> We do not provide built-in implementation for low-level details. Example implementations are provided as reference.
-
-
-## High-Level Paradigm
-
-- [Structured Output](./structure.md)
-- Task Decomposition
-- Map Reduce
-- RAG
-- Chat Memory
-- Agent
-- Multi-Agent
-- Evaluation
-
-## Example Projects
-
-- Coming soon ...