neo4j-graphrag-python and gfm-rag

neo4j-graphrag-python

Verified

gfm-rag

Established

Maintenance 17/25

Adoption 11/25

Maturity 25/25

Community 24/25

Maintenance 10/25

Adoption 10/25

Maturity 16/25

Community 16/25

Stars: 1,074

Forks: 187

Downloads: —

Commits (30d): 19

Language: Python

License: —

Stars: 222

Forks: 26

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

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No Package No Dependents

About neo4j-graphrag-python

neo4j/neo4j-graphrag-python

Neo4j GraphRAG for Python

This package helps Python developers build applications that can answer complex questions using a knowledge graph. It takes unstructured text, like documents or articles, and transforms it into a structured knowledge graph within a Neo4j database. This allows the application to retrieve precise information and generate more accurate, context-rich answers, making it useful for developers creating AI-powered question-answering systems.

AI-application-development knowledge-graph-construction natural-language-processing data-structuring information-retrieval

About gfm-rag

RManLuo/gfm-rag

[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation

This project helps domain experts and researchers get more accurate answers from large language models (LLMs) by giving them relevant information from a collection of documents. It takes your documents and questions, builds a "knowledge graph" to understand relationships, and then uses that graph to find the most relevant document snippets for the LLM to use. Anyone who needs to extract precise answers from vast amounts of text will find this useful.

knowledge-management research-assist question-answering information-retrieval data-synthesis

Related comparisons

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