GraphMemory - GraphRAG Database
An embedded graph database for RAG and knowledge graph applications, powered by DuckDB. Vector similarity search, full-text search, hybrid search, merge/upsert, graph traversal, and a full GraphRAG retrieval pipeline — all in a single Python package.
An embedded graph database for RAG and knowledge graph applications, powered by DuckDB. Vector similarity search, full-text search, hybrid search, merge/upsert, graph traversal, and a full GraphRAG retrieval pipeline — all in a single Python package.
GitHub - bradAGI/GraphMemory: GraphRAG database - hybrid graph / vector db
GraphRAG database - hybrid graph / vector db. Contribute to bradAGI/GraphMemory development by creating an account on GitHub.
github.com
March 20, 2026 at 12:56 AM
GraphMemory - GraphRAG Database
An embedded graph database for RAG and knowledge graph applications, powered by DuckDB. Vector similarity search, full-text search, hybrid search, merge/upsert, graph traversal, and a full GraphRAG retrieval pipeline — all in a single Python package.
An embedded graph database for RAG and knowledge graph applications, powered by DuckDB. Vector similarity search, full-text search, hybrid search, merge/upsert, graph traversal, and a full GraphRAG retrieval pipeline — all in a single Python package.
This system takes the RAG concept a step further by incorporating graph theory into the mix. Instead of treating data as isolated chunks, GraphRAG organizes information into a network of entities and relationships—a knowledge graph. #RAG #AI #ML #LLM
GraphRAG Systems: The Future of Information Retrieval? | Improving
Discover how GraphRAG Systems revolutionize data retrieval with comprehensive, nuanced responses to complex queries.
www.improving.com
November 21, 2024 at 12:48 PM
Earlier this year, Microsoft published GraphRAG, an alternative to vector similarity based RAG everyone is using. Goal: can also answer queries like "What were the top 5 most prominent topics in all the documents".
They open-sourced the system, including the prompts to construct the entity graph.
They open-sourced the system, including the prompts to construct the entity graph.
graphrag/graphrag/prompts/index/entity_extraction.py at main · microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system - microsoft/graphrag
github.com
December 21, 2024 at 10:07 PM
Earlier this year, Microsoft published GraphRAG, an alternative to vector similarity based RAG everyone is using. Goal: can also answer queries like "What were the top 5 most prominent topics in all the documents".
They open-sourced the system, including the prompts to construct the entity graph.
They open-sourced the system, including the prompts to construct the entity graph.
In today’s article, I announce the results of GrooveSeeker GraphRAG Week! My GraphRAG is now returning answers in roughly three seconds, with completeness of information. Fast and reliable GraphRAG is a joy to experience. 🧪
Networks and AI together. Beautiful.
#GraphRAG #AI #100daysofnetworks
Networks and AI together. Beautiful.
#GraphRAG #AI #100daysofnetworks
Day 73 of #100daysofnetworks
GrooveSeeker GraphRAG Week: Announcing Results
100daysofnetworks.substack.com
February 28, 2026 at 7:00 PM
In today’s article, I announce the results of GrooveSeeker GraphRAG Week! My GraphRAG is now returning answers in roughly three seconds, with completeness of information. Fast and reliable GraphRAG is a joy to experience. 🧪
Networks and AI together. Beautiful.
#GraphRAG #AI #100daysofnetworks
Networks and AI together. Beautiful.
#GraphRAG #AI #100daysofnetworks
fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
December 4, 2024 at 5:15 AM
fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
🤓New update to GraphRAG improves AI search results with specific and comprehensive answers and more references to source materials.
www.searchenginejournal.com/graphrag-upd...
GraphRAG Update Improves AI Search Results
An update to GraphRAG improves AI search results with specific and comprehensive answers and more references to source materials
www.searchenginejournal.com
November 20, 2024 at 3:28 PM
🤓New update to GraphRAG improves AI search results with specific and comprehensive answers and more references to source materials.
www.searchenginejournal.com/graphrag-upd...
Tiny GraphRAG (Part 1)
A tiny 1000 line implementation of GraphRAG in Python.
https://www.stephendiehl.com/posts/graphrag1/
A tiny 1000 line implementation of GraphRAG in Python.
https://www.stephendiehl.com/posts/graphrag1/
November 13, 2024 at 2:15 AM
Tiny GraphRAG (Part 1)
A tiny 1000 line implementation of GraphRAG in Python.
https://www.stephendiehl.com/posts/graphrag1/
A tiny 1000 line implementation of GraphRAG in Python.
https://www.stephendiehl.com/posts/graphrag1/
🔍 Fast GraphRAG: Next-Gen Knowledge Retrieval Framework 🧠
#FastGraphRAG delivers 6x cost savings vs standard #GraphRAG. This #opensource framework uses #PageRank for precise retrieval, offering async support & real-time updates. Ideal for building #AI workflows.
github.com/circlemind-a...
#FastGraphRAG delivers 6x cost savings vs standard #GraphRAG. This #opensource framework uses #PageRank for precise retrieval, offering async support & real-time updates. Ideal for building #AI workflows.
github.com/circlemind-a...
GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag
github.com
November 19, 2024 at 4:16 AM
🔍 Fast GraphRAG: Next-Gen Knowledge Retrieval Framework 🧠
#FastGraphRAG delivers 6x cost savings vs standard #GraphRAG. This #opensource framework uses #PageRank for precise retrieval, offering async support & real-time updates. Ideal for building #AI workflows.
github.com/circlemind-a...
#FastGraphRAG delivers 6x cost savings vs standard #GraphRAG. This #opensource framework uses #PageRank for precise retrieval, offering async support & real-time updates. Ideal for building #AI workflows.
github.com/circlemind-a...
GraphRAG v3.2.0 out – changes default package feed index and fixes cache event loop lifecycle. 36,089 stars.
https://olud.ai/releases.html
#OpenSource #Release #DevTools #AI
https://olud.ai/releases.html
#OpenSource #Release #DevTools #AI
September 24, 2026 at 2:01 PM
GraphRAG v3.2.0 out – changes default package feed index and fixes cache event loop lifecycle. 36,089 stars.
https://olud.ai/releases.html
#OpenSource #Release #DevTools #AI
https://olud.ai/releases.html
#OpenSource #Release #DevTools #AI
Introducing GraphRAG Toolkit, an open source Python toolkit for automating the construction of a graph from unstructured data.
https://github.com/awslabs/graphrag-toolkit
#AWS #OpenSource #AI #GenAI #RAG #GraphRAG
https://github.com/awslabs/graphrag-toolkit
#AWS #OpenSource #AI #GenAI #RAG #GraphRAG
GitHub - awslabs/graphrag-toolkit: Python toolkit for building GraphRAG applications
Python toolkit for building GraphRAG applications. Contribute to awslabs/graphrag-toolkit development by creating an account on GitHub.
github.com
January 22, 2025 at 12:35 PM
Introducing GraphRAG Toolkit, an open source Python toolkit for automating the construction of a graph from unstructured data.
https://github.com/awslabs/graphrag-toolkit
#AWS #OpenSource #AI #GenAI #RAG #GraphRAG
https://github.com/awslabs/graphrag-toolkit
#AWS #OpenSource #AI #GenAI #RAG #GraphRAG
is GraphRAG dead?
i still see people doing it, but i don’t think i’ve seen any big success stories
imo it’s too complex. agentic RAG gives you multi-step reasoning without the up-front effort
seems like the only time you need GraphRAG is if you have tight latency requirements
i still see people doing it, but i don’t think i’ve seen any big success stories
imo it’s too complex. agentic RAG gives you multi-step reasoning without the up-front effort
seems like the only time you need GraphRAG is if you have tight latency requirements
June 26, 2025 at 2:23 PM
is GraphRAG dead?
i still see people doing it, but i don’t think i’ve seen any big success stories
imo it’s too complex. agentic RAG gives you multi-step reasoning without the up-front effort
seems like the only time you need GraphRAG is if you have tight latency requirements
i still see people doing it, but i don’t think i’ve seen any big success stories
imo it’s too complex. agentic RAG gives you multi-step reasoning without the up-front effort
seems like the only time you need GraphRAG is if you have tight latency requirements
✨Integrate Microsoft’s GraphRAG into Neo4j and implement retrievers using LangChain and LlamaIndex ✨
This is the second part of the blog about Integrating Microsoft GraphRAG into Neo4j by Tomaz Bratanic that is worth re-reading (if you haven't)
This is the second part of the blog about Integrating Microsoft GraphRAG into Neo4j by Tomaz Bratanic that is worth re-reading (if you haven't)
Integrating Microsoft GraphRAG into Neo4j
Integrate Microsoft's GraphRAG with Neo4j, using LangChain and LlamaIndex for advanced retrieval in just a few steps. Explore detailed code examples.
bit.ly
January 7, 2025 at 8:14 PM
✨Integrate Microsoft’s GraphRAG into Neo4j and implement retrievers using LangChain and LlamaIndex ✨
This is the second part of the blog about Integrating Microsoft GraphRAG into Neo4j by Tomaz Bratanic that is worth re-reading (if you haven't)
This is the second part of the blog about Integrating Microsoft GraphRAG into Neo4j by Tomaz Bratanic that is worth re-reading (if you haven't)
AWS setup unifies GraphRAG and LightRAG into one knowledge-graph RAG stack.
September 24, 2026 at 6:53 PM
AWS setup unifies GraphRAG and LightRAG into one knowledge-graph RAG stack.
Enterprise data may have the answers you need, but it's often hard to query. In this book, Roni shows you how to build & evaluate a GraphRAG system with Python, Neo4j, & ServiceNow. You'll model CMDB data as a graph, build multiple retrieval strategies, & more.
www.freecodecamp.org/news/how-to-...
www.freecodecamp.org/news/how-to-...
September 22, 2026 at 12:01 AM
Enterprise data may have the answers you need, but it's often hard to query. In this book, Roni shows you how to build & evaluate a GraphRAG system with Python, Neo4j, & ServiceNow. You'll model CMDB data as a graph, build multiple retrieval strategies, & more.
www.freecodecamp.org/news/how-to-...
www.freecodecamp.org/news/how-to-...
Hi everybody! I just wrote a new article about the Artificial Life GraphRAG. I applied a Style Transformation that led to better answers! I show several outputs and the Machine Learning author collaboration network. 🧪
Day 63 of #100daysofnetwork
Happy New Year! GraphRAG with Style Transformation!
Day 63 of #100daysofnetwork
Happy New Year! GraphRAG with Style Transformation!
Day 63 of #100daysofnetworks
Happy New Year! GraphRAG with Style Transformation!
100daysofnetworks.substack.com
January 1, 2026 at 11:42 PM
Hi everybody! I just wrote a new article about the Artificial Life GraphRAG. I applied a Style Transformation that led to better answers! I show several outputs and the Machine Learning author collaboration network. 🧪
Day 63 of #100daysofnetwork
Happy New Year! GraphRAG with Style Transformation!
Day 63 of #100daysofnetwork
Happy New Year! GraphRAG with Style Transformation!
Microsoft introduced recently LazyGraphRAG which outperforms all competing methods for 4% of the query cost of GraphRAG.
LazyGraphRAG can scale better in terms of cost and quality by combining the strength of vector RAG and GraphRAG.
Read more here: www.microsoft.com/en-us/resear...
LazyGraphRAG can scale better in terms of cost and quality by combining the strength of vector RAG and GraphRAG.
Read more here: www.microsoft.com/en-us/resear...
LazyGraphRAG sets a new standard for GraphRAG quality and cost
Introducing a new approach to graph-enabled RAG. LazyGraphRAG needs no prior summarization of source data, avoiding prohibitive up-front indexing costs. It’s inherently scalable in cost and quality ac...
www.microsoft.com
November 29, 2024 at 6:33 PM
Microsoft introduced recently LazyGraphRAG which outperforms all competing methods for 4% of the query cost of GraphRAG.
LazyGraphRAG can scale better in terms of cost and quality by combining the strength of vector RAG and GraphRAG.
Read more here: www.microsoft.com/en-us/resear...
LazyGraphRAG can scale better in terms of cost and quality by combining the strength of vector RAG and GraphRAG.
Read more here: www.microsoft.com/en-us/resear...
You've heard of #graphdatabases. You've heard of retrieval augmented generation (#RAG). #GraphRAG brings them both together. aerospike.com/blog/introdu... #aerospike #database
https://aerospike.com/blog/introduction-to-graph-rag/…
October 22, 2024 at 1:09 AM
You've heard of #graphdatabases. You've heard of retrieval augmented generation (#RAG). #GraphRAG brings them both together. aerospike.com/blog/introdu... #aerospike #database
Partha Sarkar outlines six advanced architectural patterns for GraphRAG beyond basic graph retrieval.
September 23, 2026 at 11:31 AM
Partha Sarkar outlines six advanced architectural patterns for GraphRAG beyond basic graph retrieval.
Advancing the Physical Internet with GraphRAG: A New Way to Review and Integrate Existing Research
https://arxiv.org/abs/2609.29083
https://arxiv.org/abs/2609.29083
September 25, 2026 at 3:34 PM
Advancing the Physical Internet with GraphRAG: A New Way to Review and Integrate Existing Research
https://arxiv.org/abs/2609.29083
https://arxiv.org/abs/2609.29083
Traditional RAG systems retrieve information well, but often miss deeper relationships hidden in the data. Learn why it’s time to leverage GraphRAG, including the practical implementation and comparisons across LLMs, from DeepSeek to Gemini. 👉 surrealdb.com/blog/enhanci...
January 31, 2025 at 2:32 PM
Traditional RAG systems retrieve information well, but often miss deeper relationships hidden in the data. Learn why it’s time to leverage GraphRAG, including the practical implementation and comparisons across LLMs, from DeepSeek to Gemini. 👉 surrealdb.com/blog/enhanci...
Built an Agentic AI fraud investigation system on TigerGraph: 634K+ vertices, 2.5M+ edges, using GraphRAG and MCP for detection.
September 24, 2026 at 1:20 PM
Built an Agentic AI fraud investigation system on TigerGraph: 634K+ vertices, 2.5M+ edges, using GraphRAG and MCP for detection.
#GraphRAG vs. traditional #RAG
Christoffer Bergman created this game to demonstrate the benefits of GraphRAG with this made-up card game. 🃏Let's get started! 🤩
bit.ly/3BUPF3X
#Neo4j
Christoffer Bergman created this game to demonstrate the benefits of GraphRAG with this made-up card game. 🃏Let's get started! 🤩
bit.ly/3BUPF3X
#Neo4j
GraphRAG – The Card Game - Graph Database & Analytics
Learn GraphRAG through a fun, hypothetical card game that demonstrates how graph enhances RAG applications, without diving into code or technical details.
bit.ly
May 30, 2025 at 5:49 PM
#GraphRAG vs. traditional #RAG
Christoffer Bergman created this game to demonstrate the benefits of GraphRAG with this made-up card game. 🃏Let's get started! 🤩
bit.ly/3BUPF3X
#Neo4j
Christoffer Bergman created this game to demonstrate the benefits of GraphRAG with this made-up card game. 🃏Let's get started! 🤩
bit.ly/3BUPF3X
#Neo4j
Three AI agent papers, one multi-hop question, two retrieval paths. A teardown of where vector search stalls, where the graph earns its keep, and where it plainly doesn't. Mechanism, not a benchmark table. https://chaoscypher.com/blog/graphrag-teardown-naive-rag #GraphRAG
September 25, 2026 at 2:49 PM
Three AI agent papers, one multi-hop question, two retrieval paths. A teardown of where vector search stalls, where the graph earns its keep, and where it plainly doesn't. Mechanism, not a benchmark table. https://chaoscypher.com/blog/graphrag-teardown-naive-rag #GraphRAG