ksachdeva/langchain-graphrag
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
This project helps you get clear, query-focused summaries from large collections of text, like reports or documents. It takes your raw text data and a specific question, then outputs a concise summary that directly answers your query. This is ideal for researchers, analysts, or anyone who needs to quickly extract key insights from extensive written materials.
164 stars.
Use this if you need to summarize vast amounts of text based on a specific question, rather than just getting a general overview.
Not ideal if you're looking for simple, generic summaries without a particular query in mind, or if your text data is very small and doesn't require advanced summarization techniques.
Stars
164
Forks
26
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 20, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/ksachdeva/langchain-graphrag"
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