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
- chromadb
- langchain-community
- grpcio-health-checking
- llama-index-llms-openai-like
- ipykernel
- ipywidgets-bokeh
- fastapi
- tqdm
- tiktoken
- mixedbread-ai
- voyageai
- langchain-text-splitters
- grpcio-status
- quart
- pyngrok
- emoji
- weaviate-client
- grpcio
- cohere
- langchain-core
- llama-index
- datasets
- click
- fastparquet
- openai
- aiohttp
- couchbase
- tokenlog
- pinecone
- rouge-score
- llama-index-llms-bedrock
- llama-index-embeddings-ollama
- pymilvus
- qdrant-client
- gradio
- grpcio-tools
- llama-index-embeddings-openai
- numpy
- llama-index-retrievers-bm25
- rank-bm25
- ipywidgets
- pydantic
- rich
- sacrebleu
- llama-index-readers-file
- llama-index-embeddings-openai-like
- pyyaml
- panel
- llama-parse
- langsmith
- streamlit
- llama-index-core
- seaborn
- scikit-learn
- llama-index-llms-openai
- evaluate
- pandas
- banks
- langchain
- pyarrow
Releases
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