Business · GitHub ·167 ★

langchain-graphrag

GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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Details

Author
ksachdeva
Category
Business
Platform
GitHub
Framework
langchain
Language
python
Stars
167
First indexed
2026-05-15
Last active
2026-03-31
Directory sync
2026-05-15
@ksachdeva

Overview

GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Quick start

git

git clone https://github.com/ksachdeva/langchain-graphrag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What langchain-graphrag can do

llmraghr
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is langchain-graphrag?
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
How do I install langchain-graphrag?
Use git: `git clone https://github.com/ksachdeva/langchain-graphrag`. Full setup details on the source page linked above.
Is langchain-graphrag open source?
langchain-graphrag is published on GitHub.
What are alternatives to langchain-graphrag?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for langchain-graphrag is sourced from GitHub, published by ksachdeva.

Last scraped: · First indexed:

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