AI Agent Use Cases

AI Agent for Rag

34 real-world examples of AI agents used for rag. Every case includes the tech stack, source link, and author. No fluff — just what people actually built and shipped.

aifs

AIFS offers a simple and efficient local semantic search capability for folders, leveraging Unstructured.IO for advanced data processing and ChromaDB

ChromaDB

Cal.ai

Cal.ai is an open-source AI scheduling assistant that manages email communications for booking, rearranging, and inquiring about meetings, leveraging

LangChain

AI Researcher

The AI Researcher is an AI agent leveraging Claude 3 and SERPAPI for in-depth topic research, refining subtopic analyses into a comprehensive report,

Claude

Corrective RAG (CRAG)

Implement a Corrective RAG system that evaluates and refines retrieved documents before passing them to the generator, ensuring higher-quality outputs

Langgraph
LangChain
LangGraph
RAG

Agentic RAG

Learn to build an Agentic RAG system where an agent determines the best retrieval strategy before generating a response, improving the relevance and a

Langgraph
LangChain
LangGraph
RAG

Self-RAG

Learn to implement Self-RAG, where the system reflects on its responses and retrieves additional information if necessary, enhancing the accuracy and

Langgraph
LangChain
LangGraph
RAG

Open-RAG-Eval

Testingcommunitysource

an open source RAG evaluation framework that does not require golden answers, and can be used to evaluate performance of RAG tools connected to an AI

Go
RAG

Adaptive RAG

This tutorial demonstrates how to build an Adaptive RAG system using LangGraph. It guides you through creating a dynamic retrieval process that adjust

Langgraph
LangChain
LangGraph
RAG

Corrective RAG (Local)

This tutorial focuses on building a Corrective RAG system using local resources, allowing for offline document evaluation and refinement processes.

Langgraph
LangChain
LangGraph
RAG

Self-RAG (Local)

This tutorial demonstrates how to implement Self-RAG using local models and data sources, enabling offline reflection and retrieval processes.

Langgraph
LangChain
LangGraph
RAG

Adaptive RAG (Local)

This tutorial focuses on implementing Adaptive RAG with local models, allowing for offline retrieval and generation, which is crucial for environments

Langgraph
LangChain
LangGraph
RAG

Agentic RAG (Local)

This tutorial extends Agentic RAG to local environments, enabling the use of local models and data sources for retrieval and generation tasks.

Langgraph
LangChain
LangGraph
RAG

PraisonAI

Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM appli

CrewAI
AutoGen

Astron

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

RAG

Superagent

Superagent is an open-source AI assistant framework backed by Y Combinator, facilitating the integration of large language models (LLM) and generative

Python

Agentset

Open-source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support.

RAG

Claude Engineer

Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software

Claude
RAG

LiteLLM

LiteLLM has added support for the OpenAI Assistants API, enabling seamless integration of stateful operations and automatic RAG pipelines into existin

OpenAI

SuperAGI

SuperAGI is an open-source framework facilitating the development, management, and operation of useful Autonomous AI Agents with a variety of features

Python

Flowise

Flowise simplifies the creation of applications leveraging large language models (LLMs) by providing a drag-and-drop interface for customizing AI work

Python

Google STT

Google Cloud Speech-to-Text is a comprehensive speech recognition service that leverages Google's years of research in automatic speech recognition an

Python
Newsletter

Best AI agent use cases, weekly.

More AI agent categories