AutoRAG

AutoRAG is an open-source AutoML framework that automatically optimizes Retrieval-Augmented Generation (RAG) pipelines by evaluating and selecting the best combination of RAG modules for specific datasets.

Available Pages

AutoRAG: Optimize RAG Pipelines & Stop Guessing What Works

Discover AutoRAG, the complete workflow for optimizing RAG pipelines from PDF parsing to QA dataset creation. Learn why you need it and how to get started.

Related Technologies

Competition

ragas

Direct competitors

dspy

Direct competitors

flashrag

Direct competitors

Integration

Integrates With

llamaindex

Official integration support

Integrates With

langchain

Official integration support

Integrates With

chroma

Official integration support

Integrates With

milvus

Official integration support

Integrates With

weaviate

Official integration support

Integrates With

pinecone

Official integration support

Integrates With

qdrant

Official integration support

Integrates With

couchbase

Official integration support

Integrates With

openai

Official integration support

Integrates With

cohere

Official integration support

Integrates With

hugging face

Official integration support

Integrates With

ollama

Official integration support

Integrates With

voyageai

Official integration support

Integrates With

mixedbread ai

Official integration support

Dependencies

python

Foundation technology

fastapi

Requires for operation

pandas

Requires for operation

numpy

Requires for operation

pytorch

Requires for operation

streamlit

Requires for operation

gradio

Requires for operation

Similar

haystack

Similar functionality

txtai

Similar functionality

r2r

Similar functionality