awslabs/graphrag-toolkit
Python toolkit from AWS Labs for building graph-enhanced RAG applications with hierarchical lexical graphs and question-answering strategies.
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The graphrag-toolkit provides Python tools for constructing hierarchical lexical graphs from unstructured data and composing question-answering strategies that query these graphs to answer user questions. It integrates with llama-index for LLM orchestration and supports graph databases like Amazon Neptune alongside vector capabilities for hybrid retrieval in generative AI applications.
Frequently asked
- What is awslabs/graphrag-toolkit?
- Python toolkit from AWS Labs for building graph-enhanced RAG applications with hierarchical lexical graphs and question-answering strategies.
- Is graphrag-toolkit open source?
- Yes — awslabs/graphrag-toolkit is open source, released under the Apache-2.0 license.
- What language is graphrag-toolkit written in?
- awslabs/graphrag-toolkit is primarily written in Python.
- How popular is graphrag-toolkit?
- awslabs/graphrag-toolkit has 415 stars on GitHub.
- Where can I find graphrag-toolkit?
- awslabs/graphrag-toolkit is on GitHub at https://github.com/awslabs/graphrag-toolkit.