Open rmusser01 opened 2 months ago
Graphrag https://github.com/pingcap/tidb-vector-python/blob/main/examples/graphrag-step-by-step-tutorial/README.md https://medium.com/microsoftazure/introducing-graphrag-with-langchain-and-neo4j-90446df17c1e https://github.com/anjor/naive-graphrag-impl https://ragaboutit.com/graph-rag-vs-vector-rag-a-comprehensive-tutorial-with-code-examples/ https://towardsdatascience.com/how-to-convert-any-text-into-a-graph-of-concepts-110844f22a1a?gi=4e95636fe591 https://www.turingpost.com/p/graphrag https://github.com/KaifAhmad1/RAG-with-KnowledgeGraph/blob/main/RAG_with_Graph_Database.ipynb
GraphDB https://dozerdb.org/
Knowledge Graphs https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/ https://jdsemrau.substack.com/p/graph-reasoning-structures-and-concepts https://github.com/tomasonjo/blogs/blob/master/llm/devops_rag.ipynb https://angelina-yang.medium.com/augmenting-rag-systems-with-knowledge-graphs-for-customer-service-q-a-c248d2d56c48 https://towardsdatascience.com/text-to-knowledge-graph-made-easy-with-graph-maker-f3f890c0dbe8?gi=f557597a37c9 https://towardsdatascience.com/combine-text-embeddings-and-knowledge-graph-embeddings-in-rag-systems-5e6d7e493925?gi=fdc5811c4a92 https://generativeai.pub/knowledge-graph-extraction-visualization-with-local-llm-from-unstructured-text-a-history-example-94c63b366fed?gi=b7c73145625b https://www.pingcap.com/article/graphrag-enhancing-traditional-rag-through-knowledge-graph https://neo4j.com/developer-blog/knowledge-graph-rag-application https://github.com/markmap/markmap https://blog.langchain.dev/enhancing-rag-based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/ https://arxiv.org/pdf/2407.00653 https://archive.is/4wPGs https://github.com/rahulnyk/knowledge_graph https://towardsdatascience.com/how-to-convert-any-text-into-a-graph-of-concepts-110844f22a1a https://div.beehiiv.com/p/knowledge-graphs-graphrag-advanced-intelligent-data-retrieval https://github.com/neo4j-labs/llm-graph-builder https://www.deeplearning.ai/short-courses/knowledge-graphs-rag/ https://neo4j.com/developer-blog/knowledge-graphs-llms-multi-hop-question-answering/ https://neo4j.com/developer-blog/knowledge-graph-rag-application/ https://github.com/neo4j/NaLLM https://archive.is/E1bdb https://github.com/chrisammon3000/dspy-neo4j-knowledge-graph/blob/main/src/neo4j.py https://arxiv.org/html/2406.19215v1 https://github.com/BaranziniLab/KG_RAG https://blog.dagworks.io/p/building-a-conversational-graphdb https://github.com/rahulnyk/knowledge_graph
Graphrag 101 https://medium.com/microsoftazure/introducing-graphrag-with-langchain-and-neo4j-90446df17c1e https://www.youtube.com/watch?v=vX3A96_F3FU https://www.turingpost.com/p/graphrag https://div.beehiiv.com/p/knowledge-graphs-graphrag-advanced-intelligent-data-retrieval Build https://github.com/pingcap/tidb-vector-python/blob/main/examples/graphrag-step-by-step-tutorial/README.md https://github.com/anjor/naive-graphrag-impl https://ragaboutit.com/graph-rag-vs-vector-rag-a-comprehensive-tutorial-with-code-examples/ https://towardsdatascience.com/how-to-convert-any-text-into-a-graph-of-concepts-110844f22a1a https://medium.com/@samarrana407/step-by-step-guide-to-build-rag-application-with-knowledge-graph-456fbaf64e98 https://github.com/KaifAhmad1/RAG-with-KnowledgeGraph/blob/main/RAG_with_Graph_Database.ipynb
Knowledge Graphs 101 https://towardsdatascience.com/combine-text-embeddings-and-knowledge-graph-embeddings-in-rag-systems-5e6d7e493925?gi=fdc5811c4a92 https://neo4j.com/developer-blog/knowledge-graphs-llms-multi-hop-question-answering/ https://archive.is/E1bdb Building one https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/ https://towardsdatascience.com/text-to-knowledge-graph-made-easy-with-graph-maker-f3f890c0dbe8?gi=f557597a37c9 https://blog.dagworks.io/p/building-a-conversational-graphdb https://generativeai.pub/knowledge-graph-extraction-visualization-with-local-llm-from-unstructured-text-a-history-example-94c63b366fed?gi=829d63e4e825 https://www.pingcap.com/article/graphrag-enhancing-traditional-rag-through-knowledge-graph https://neo4j.com/developer-blog/knowledge-graph-rag-application/ https://blog.langchain.dev/enhancing-rag-based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/ https://github.com/rahulnyk/knowledge_graph https://github.com/neo4j-labs/llm-graph-builder https://medium.com/@samarrana407/step-by-step-guide-to-build-rag-application-with-knowledge-graph-456fbaf64e98 https://www.deeplearning.ai/short-courses/knowledge-graphs-rag/ Built https://github.com/BaranziniLab/KG_RAG Neo4j https://github.com/neo4j/NaLLM https://github.com/chrisammon3000/dspy-neo4j-knowledge-graph/blob/main/src/neo4j.py Customer chatbots Augmenting RAG Systems with Knowledge Graphs for Customer Service Q&A - https://archive.is/3kmQl https://www.youtube.com/watch?v=a6VWF_DpWDU https://www.youtube.com/watch?v=QSZHGGRouIE Papers https://arxiv.org/pdf/2407.00653 Combining text embeddings + Graph embeddings https://archive.is/4wPGs SeaKR https://arxiv.org/html/2406.19215v1 https://github.com/THU-KEG/SeaKR
Graph-related https://arxiv.org/abs/2408.06778 Hybrid RAG https://arxiv.org/abs/2408.04948v1
https://ai.gopubby.com/agentic-rags-extending-rags-to-sql-databases-1509b25ca3e7?gi=65de7df194ed https://www.amazon.science/publications/learning-when-to-retrieve-what-to-rewrite-and-how-to-respond-in-conversational-qa https://www.amazon.science/publications/generative-subgraph-retrieval-for-knowledge-graph-grounded-dialog-generation
Issue to track information related to Knowledge Graphs & GraphRAG implementation efforts
GraphRAG Articles
Papers
https://arxiv.org/abs/2408.08921
https://arxiv.org/html/2408.04948v1
Models
KnowledgeGraphs https://github.com/d0rc/deepdive/tree/main https://jdsemrau.substack.com/p/graph-reasoning-networks-solving https://jdsemrau.substack.com/p/reasoning-with-graph-encoding https://jdsemrau.substack.com/p/graph-reasoning-structures-and-concepts
https://github.com/trustgraph-ai/trustgraph https://github.com/jmanhype/Golden-Retriever/ https://github.com/trustgraph-ai/trustgraph https://www.reddit.com/r/LocalLLaMA/comments/1du6c8d/comment/lbi55jp/ https://arxiv.org/abs/2408.07852 https://arxiv.org/abs/2408.04948 https://artificialintelligencemadesimple.substack.com/p/understanding-the-best-practices https://artificialintelligencemadesimple.substack.com/p/how-we-built-an-efficient-knowledge