AutoRAG
Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install autorag
Dependencies
- openai
- langchain-unstructured
- seaborn
- grpcio-tools
- langchain-upstage
- scikit-learn
- llama-index-embeddings-openai-like
- emoji
- fastparquet
- quart
- llama-index-llms-openai
- streamlit
- chromadb
- grpcio-status
- pyngrok
- llama-index-embeddings-openai
- panel
- llama-index-llms-bedrock
- qdrant-client
- click
- grpcio
- pinecone
- numpy
- gradio
- evaluate
- llama-index-readers-file
- rich
- rank-bm25
- llama-index-retrievers-bm25
- mixedbread-ai
- cohere
- langchain-community
- langchain-core
- pydantic
- aiohttp
- voyageai
- tqdm
- ipywidgets-bokeh
- weaviate-client
- grpcio-health-checking
- couchbase
- rouge-score
- banks
- pyarrow
- llama-index-embeddings-ollama
- tokenlog
- tiktoken
- langsmith
- llama-index-llms-openai-like
- pyyaml
- pymilvus
- ipykernel
- fastapi
- pandas
- datasets
- sacrebleu
- ipywidgets
- llama-index
- llama-index-core
Releases
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