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コンテンツは Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
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What Is Graph Data Science?
Manage episode 367298726 series 2896282
コンテンツは Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
- Neo4j Graph Data Science: https://neo4j.com/docs/graph-data-science/current/introduction/
- Use Graphs For Smarter AI With Neo4j and Google Cloud VertexAI: https://cloud.google.com/blog/products/ai-machine-learning/analyze-graph-data-on-google-cloud-with-neo4j-and-vertex-ai
- Harnessing LLMs with Neo4j: https://neo4j.com/developer-blog/harness-large-language-models-neo4j/
- Knowledge Graphs & LLMs: Fine-Tuning Vs. Retrieval-Augmented Generation: https://medium.com/neo4j/knowledge-graphs-llms-fine-tuning-vs-retrieval-augmented-generation-30e875d63a35
- LangChain Cypher Search: Tips & Tricks - How to optimize prompts for Cypher statement generation to retrieve relevant information from Neo4j in your LLM applications: https://medium.com/neo4j/langchain-cypher-search-tips-tricks-f7c9e9abca4d
- Integrate LLM workflows with Knowledge Graph using Neo4j and APOC: https://towardsdatascience.com/integrate-llm-workflows-with-knowledge-graph-using-neo4j-and-apoc-27ef7e9900a2
- Knowledge Graphs & LLMs: Multi-Hop Question Answering - Retrieve information that spans across multiple documents: https://medium.com/neo4j/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51
- Neo4j and Generative AI (video): https://youtu.be/mMkXnmueasA
- Neo4j Graph Academy: https://graphacademy.neo4j.com/
- Community Detection with GDS - Identify communities of people based on their survey responses: https://graphacademy.neo4j.com/courses/gds-community-detection/
- Introducing The Spatial Cypher Cheat Sheet: https://lyonwj.com/blog/spatial-cypher-cheat-sheet
- New Sandbox Feature - SSO: https://neo4j.com/developer-blog/neo4j-sandbox-sso/
- How to Implement SSO in your Neo4j Instance: https://neo4j.com/developer-blog/implement-sso-neo4j-auth0/
- apoc.load.json procedure: https://neo4j.com/docs/apoc/current/import/load-json/
- Arrows.app: https://arrows.app/
- Bellman-Ford Single-Source Shortest Path: https://neo4j.com/docs/graph-data-science/current/algorithms/bellman-ford-single-source/
- Spring Data Neo4j: https://spring.io/projects/spring-data-neo4j#overview
- Upcoming Events
- Exploring Aura Free w/ Michael and Alex: https://neo4j.com/event/discovering-auradb-free-with-michael-alexander-2022-03-14/2023-07-10/
- 360 Degree view of your customers: https://neo4j.com/event/neo4j-live-demo-graph-data-science-get-a-360-degree-view-of-your-customers-july-12/
- Graph Data Science and ML (US timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-july-14/
- Graph Data Science and ML (Europe timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-europe-july-26/
- Smarter Fraud Detection with Graph Data Science (US timezones): https://neo4j.com/event/neo4j-live-demo-smarter-fraud-detection-with-graph-data-science-july-19/
- Smarter Fraud Detection with Graph Data Science (Europe timezones): https://neo4j.com/event/neo4j-smarter-fraud-detection-with-graph-data-science-europe-july-19/
- Finding the Right Graph Database: The Pros & Cons of Native vs Non-Native: https://neo4j.com/event/neo4j-live-demo-finding-the-right-graph-database-the-pros-cons-of-native-vs-non-native-july-21/
36 つのエピソード
Manage episode 367298726 series 2896282
コンテンツは Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
- Neo4j Graph Data Science: https://neo4j.com/docs/graph-data-science/current/introduction/
- Use Graphs For Smarter AI With Neo4j and Google Cloud VertexAI: https://cloud.google.com/blog/products/ai-machine-learning/analyze-graph-data-on-google-cloud-with-neo4j-and-vertex-ai
- Harnessing LLMs with Neo4j: https://neo4j.com/developer-blog/harness-large-language-models-neo4j/
- Knowledge Graphs & LLMs: Fine-Tuning Vs. Retrieval-Augmented Generation: https://medium.com/neo4j/knowledge-graphs-llms-fine-tuning-vs-retrieval-augmented-generation-30e875d63a35
- LangChain Cypher Search: Tips & Tricks - How to optimize prompts for Cypher statement generation to retrieve relevant information from Neo4j in your LLM applications: https://medium.com/neo4j/langchain-cypher-search-tips-tricks-f7c9e9abca4d
- Integrate LLM workflows with Knowledge Graph using Neo4j and APOC: https://towardsdatascience.com/integrate-llm-workflows-with-knowledge-graph-using-neo4j-and-apoc-27ef7e9900a2
- Knowledge Graphs & LLMs: Multi-Hop Question Answering - Retrieve information that spans across multiple documents: https://medium.com/neo4j/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51
- Neo4j and Generative AI (video): https://youtu.be/mMkXnmueasA
- Neo4j Graph Academy: https://graphacademy.neo4j.com/
- Community Detection with GDS - Identify communities of people based on their survey responses: https://graphacademy.neo4j.com/courses/gds-community-detection/
- Introducing The Spatial Cypher Cheat Sheet: https://lyonwj.com/blog/spatial-cypher-cheat-sheet
- New Sandbox Feature - SSO: https://neo4j.com/developer-blog/neo4j-sandbox-sso/
- How to Implement SSO in your Neo4j Instance: https://neo4j.com/developer-blog/implement-sso-neo4j-auth0/
- apoc.load.json procedure: https://neo4j.com/docs/apoc/current/import/load-json/
- Arrows.app: https://arrows.app/
- Bellman-Ford Single-Source Shortest Path: https://neo4j.com/docs/graph-data-science/current/algorithms/bellman-ford-single-source/
- Spring Data Neo4j: https://spring.io/projects/spring-data-neo4j#overview
- Upcoming Events
- Exploring Aura Free w/ Michael and Alex: https://neo4j.com/event/discovering-auradb-free-with-michael-alexander-2022-03-14/2023-07-10/
- 360 Degree view of your customers: https://neo4j.com/event/neo4j-live-demo-graph-data-science-get-a-360-degree-view-of-your-customers-july-12/
- Graph Data Science and ML (US timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-july-14/
- Graph Data Science and ML (Europe timezones): https://neo4j.com/event/neo4j-live-demo-graph-data-science-and-machine-learning-europe-july-26/
- Smarter Fraud Detection with Graph Data Science (US timezones): https://neo4j.com/event/neo4j-live-demo-smarter-fraud-detection-with-graph-data-science-july-19/
- Smarter Fraud Detection with Graph Data Science (Europe timezones): https://neo4j.com/event/neo4j-smarter-fraud-detection-with-graph-data-science-europe-july-19/
- Finding the Right Graph Database: The Pros & Cons of Native vs Non-Native: https://neo4j.com/event/neo4j-live-demo-finding-the-right-graph-database-the-pros-cons-of-native-vs-non-native-july-21/
36 つのエピソード
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