Agentic RAG Playground

A playground repository exploring different frameworks and approaches for building Retrieval Augmented Generation (RAG) systems with agentic capabilities.

Overview

This repository demonstrates various implementations of RAG systems using different frameworks and approaches. It serves as a learning playground and reference for AI engineers interested in exploring the landscape of RAG and agent-based architectures.

The code is intentionally experimental in nature, showcasing different implementation patterns rather than providing a single production-ready solution.

Frameworks Explored

• LangChain: Implementation of retrieval chains and document processing
• LangGraph: Graph-based agent workflows with state management
• LlamaIndex: Vector store indexing and query engines
• CrewAI: Multi-agent systems with specialized roles and coordination
• SmolAgents: Lightweight agent framework with custom tools

Key Components

RAG Implementations

• Basic RAG with LangChain and LlamaIndex
• Document chunking and embedding strategies
• Vector store creation and similarity search

Agent Architectures

• Single-agent RAG with tool use
• Multi-agent systems with coordination
• Graph-based agent workflows

Advanced Techniques

• misc/dvts.py: Diverse Verifier Tree Search for complex reasoning
• misc/rag.py: Production-grade RAG with HNSW vector search
• misc/perplexity.py: Real-time search with dynamic index management
• misc/optimizations.py: High-performance LLM serving optimizations

Resume Agent

A more structured implementation of a LangGraph-based agent designed to answer questions about a resume:

• Graph-based agent workflow
• RAG chain for document retrieval
• Custom tools for resume search

Getting Started

Prerequisites

• Python 3.12+
• Local LLM server (Ollama recommended)

Installation

# Clone the repository
git clone https://github.com/spyker77/agentic-rag.git
cd agentic-rag

# Install dependencies
uv sync

Running Demos

python -m demos.crewai

python -m demos.langchain

python -m demos.langgraph

python -m demos.llamaindex_agent

python -m demos.llamaindex_rag

python -m demos.smolagents

python -m src.resume_agent.main

Project Structure

.
├── data/                 # Sample data including resume
├── misc/                 # Advanced techniques and optimizations
│   ├── dvts.py           # Diverse Verifier Tree Search
│   ├── optimizations.py  # LLM serving optimizations
│   ├── perplexity.py     # Real-time search system
│   └── rag.py            # Advanced RAG implementation
├── src/                  # Source code
│   └── resume_agent/     # Structured LangGraph agent implementation
├── demos/                # Demos with different frameworks

Disclaimer

This repository is intended as an experimental playground for learning and exploration. The code is not optimized for production use and may contain experimental patterns and approaches.

License

MIT