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Neo4j
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Добавлен 3 дек 2014
Neo4j is the Graph Database & Analytics leader. This channel features videos by our Developer Relations, Engineering, and Product teams about best practices using Neo4j. Learn more at bit.ly/4cx1g6A If you have technical questions or want to build a local community, join community.neo4j.com
Knowledge Graphs and Neo4j
Build better apps!
Connect your data in knowledge graphs to access deep, dynamic context. With Neo4j, you can quickly design, implement, and evolve your knowledge graph.
Start building here: bit.ly/3XViZjQ
#Neo4j #knowledgegraph #llms #GenAI
Connect your data in knowledge graphs to access deep, dynamic context. With Neo4j, you can quickly design, implement, and evolve your knowledge graph.
Start building here: bit.ly/3XViZjQ
#Neo4j #knowledgegraph #llms #GenAI
Просмотров: 623
Видео
Why Neo4j and GraphRAG for GenAI
Просмотров 78112 часов назад
Neo4j for #GenAI Unify vector search, knowledge graph, and data science to build breakthrough GenAI apps that deliver highly accurate responses, rich context, and deep explainability. Get an overview and explore resources here: bit.ly/4eRHS6g #Knowledgegraphs #graphRAG #Neo4j #llms
GraphSummit World Tour 2024 | Interconnected Data & AI
Просмотров 14212 часов назад
Join GraphSummit in a city near you. Discover how data pioneers use graph technology and AI to uncover hidden patterns, increase intelligence, and solve the most pressing problems. neo4j.com/graphsummit/
Pragmatic Knowledge Graphs with Ashleigh Faith
Просмотров 33512 часов назад
Our special guest for this episode is Ashleigh Faith, who's been hosting a Knowledge Graph (KG)- focused RUclips channel for nearly half a decade. She shares her unconventional journey, starting from academic search with Machine Learning (ML). She shares hard lessons learned while implementing KGs as a consultant and offers tips and tricks for designing data models and using KGs with large lang...
Docker, AI, and More: Catch a Glimpse of the Java Ecosystem with Oleg Šelajev (July 2024)
Просмотров 246Месяц назад
Our guest today is another fellow advocate, Oleg Šelajev. Oleg is a developer advocate at Docker working mainly on developer productivity, Testcontainers, and improving how we set up local development environments and tests. Show Notes: Speaker Resources: * Testcontainers testcontainers.com/ * NODES 2024 dev.neo4j.com/nodes24 Tools of the Month: * Neo4j Kubernetes documentation neo4j.com/docs/o...
Neo4j's LLM Knowledge Graph Builder - DEMO
Просмотров 8 тыс.Месяц назад
In this demonstration of the LLM Knowledge Graph Builder, we show you how to automagically create a graph from your unstructured text and leverage it for Graph-powered Retrieval-Augmented Generation (GraphRAG). -upload documents, RUclips videos, and Wikipedia pages. -configure a graph schema -extract the lexical and knowledge graph -visualize the extracted graph -ask questions and see the detai...
GraphAcademy - Importing Data Fundamentals - Course Introduction
Просмотров 7642 месяца назад
GraphAcademy - Importing Data Fundamentals - Course Introduction
Getting the Word out on Knowledge Graphs with Leann Chen (June 2024)
Просмотров 1,1 тыс.2 месяца назад
Getting the Word out on Knowledge Graphs with Leann Chen (June 2024)
2023 Finale: LLMs and Knowledge Graphs throughout the year - Season 2, Episode #11 (December 2023)
Просмотров 5953 месяца назад
2023 Finale: LLMs and Knowledge Graphs throughout the year - Season 2, Episode #11 (December 2023)
Net Zero Decarbonization with Henry Bruce and Mike Napper from ExpectAI (May 2024)
Просмотров 1963 месяца назад
Net Zero Decarbonization with Henry Bruce and Mike Napper from ExpectAI (May 2024)
Loading Data from BigQuery into Neo4j with Dataflow
Просмотров 6684 месяца назад
Loading Data from BigQuery into Neo4j with Dataflow
Neo4j and Microsoft Fabric Interop Demo
Просмотров 1,1 тыс.4 месяца назад
Neo4j and Microsoft Fabric Interop Demo
Providing Better Business Intelligence with Vish Puttagunta (April 2024)
Просмотров 2964 месяца назад
Providing Better Business Intelligence with Vish Puttagunta (April 2024)
Preview: Microsoft Fabric Neo4j Graph Analytics Workload Demo with Visualization and Algorithms
Просмотров 1,1 тыс.4 месяца назад
Preview: Microsoft Fabric Neo4j Graph Analytics Workload Demo with Visualization and Algorithms
NODES 2023 - Entity Resolution and Deduping: Best Practices From Neo4j's Field Team
Просмотров 1,3 тыс.4 месяца назад
NODES 2023 - Entity Resolution and Deduping: Best Practices From Neo4j's Field Team
NODES 2023 - Fighting FinCrime Efficiently With Entity Resolution & Graph Technology
Просмотров 7594 месяца назад
NODES 2023 - Fighting FinCrime Efficiently With Entity Resolution & Graph Technology
NODES 2023 - New Caledonia Open Data as a Whole Big Graph
Просмотров 3804 месяца назад
NODES 2023 - New Caledonia Open Data as a Whole Big Graph
NODES 2023 - OpenScreening: A Neo4j Powered Free Compliance Investigation Tool
Просмотров 2144 месяца назад
NODES 2023 - OpenScreening: A Neo4j Powered Free Compliance Investigation Tool
NODES 2023 - Preventing Payment Fraud in Realtime With Unsupervised Machine Learning
Просмотров 4134 месяца назад
NODES 2023 - Preventing Payment Fraud in Realtime With Unsupervised Machine Learning
NODES 2023 - RDFLib + Neo4j Revolutionizing RDF Data Loading Into Aura
Просмотров 6624 месяца назад
NODES 2023 - RDFLib Neo4j Revolutionizing RDF Data Loading Into Aura
NODES 2023 - Re-Inventing Cypher Editing: Neo4j Meets Language Servers
Просмотров 1504 месяца назад
NODES 2023 - Re-Inventing Cypher Editing: Neo4j Meets Language Servers
NODES 2023 - Relation Extraction: Dependency Graphs vs. Large Language Models
Просмотров 6964 месяца назад
NODES 2023 - Relation Extraction: Dependency Graphs vs. Large Language Models
NODES 2023 - Rethinking Your Data Modal for Improved Performance
Просмотров 1524 месяца назад
NODES 2023 - Rethinking Your Data Modal for Improved Performance
NODES 2023 - Smart Network Data Repository With Neo4j Knowledge Graph
Просмотров 2154 месяца назад
NODES 2023 - Smart Network Data Repository With Neo4j Knowledge Graph
NODES 2023 - Solving (Historical) Research Issues With NeoDash
Просмотров 1564 месяца назад
NODES 2023 - Solving (Historical) Research Issues With NeoDash
NODES 2023 - Streamline Your Development With GitHub Actions: Build, Test, and Deploy Custom Code
Просмотров 1504 месяца назад
NODES 2023 - Streamline Your Development With GitHub Actions: Build, Test, and Deploy Custom Code
NODES 2023 - Streamline Your Web Apps’ Tech Stack With Neo4j
Просмотров 904 месяца назад
NODES 2023 - Streamline Your Web Apps’ Tech Stack With Neo4j
NODES 2023 - The New Cypher Projection in Neo4j Graph Data Science
Просмотров 2814 месяца назад
NODES 2023 - The New Cypher Projection in Neo4j Graph Data Science
NODES 2023 - Tracing Clues: Become a Knowledge Graph Detective for Wildlife Welfare
Просмотров 914 месяца назад
NODES 2023 - Tracing Clues: Become a Knowledge Graph Detective for Wildlife Welfare
Is there a way we can reason around and provide insights using graph relations rather than merely returning data ?
Not all graphs are knowledge graphs. This video didn't do anything to show that.
Thanks for this super useful series. I wonder if importing the RDF model via rdflib is available for free aura instances? The problem is many use OAuth and the password is not available to use when providing the credential.
Nice ! Thanks guys
Does the node embedding include information of node/relations? or just the text of the answer/question.
Great talk !
is it possible to chunk the data and make graph purely based on the embedding of that data?
Jesus, you are amazing. I don't know how your mind is trained, enabling you to point to such brilliant ideas and generously share them with others. Thanks.
May I ask, this tool's selected large language model did not require me to enter an API key. Is this an unpaid demo? Is there a limit on the number of files?
Is Azure ML required?
Trying to run this on Linux in my home lab and it's erroring out on the genai-stack-database when I run docer compose --profile linux-gpu up.
Very poor recording. Couldn't see what was written in sublime text at 20:30. Moving on to some other video
Exactly what I am looking for singe long time. Tried with PKM solutions but not satisfactory exception for Tana, but this approach is … so magic 🎉😅. When will you feel comfortable to start sharing the code/solution? I would definitely want to start my own knowledge base similar to what you are building. And I do have a very good use case I believe… 🙏🙏🙏 Keep up the EXCELLENT work 💯🙌👍👏
Instead os using an existing schema, it will be nice to have a "Odontology" as schema, as "Going Meta" videos did it. Do you have some plans to include ontologies in this great solution?
I'm having trouble trying to find the credentials file
It was at the top of my downloads folder
Short and on point. 👌 Thank you! 😄
Hello! I have a question. I add graphs that model travel times by means of transportation (walking, bicycle, etc.) from OSM to a neo4j database?
finally get to know how to import csv to neo4j lol...thanks a lot!
!discord
its helpful, thanks
Thank Martin and Alexander for explanation!! Is there a limit on csv file? I have a requirement to load data from RDBMS where some of the tables have 130+M of records.
you're welcome! You can look at the resources here for RDBMS to Graph: neo4j.com/docs/getting-started/data-import/relational-to-graph-import/ For that size probably going via ETL can make sense or you go with the admin import: neo4j.com/docs/operations-manual/current/tools/neo4j-admin/neo4j-admin-import/
Late at this but awesome video!
Thank you!
Great demonstration, really useful for our project!
Thank you!
Thank you very much, for the background presentations from mature and experienced Mike Morley!!
Thank you!
the demo was nice, i'll be using this for a project
cool! let us know how it goes :)
I really appreciate your work and your knowledge transfer in ontology and KG. I have one question. I am wonder that, since I need to define the mapping and also to define the relationship between nodes what are the benefits of ontology and how ontology can help me if I need to provide everything? Maybe I understood something wrong but I have this question and I think you are the most appropriate person. I am not using neosemantic just neo4j and i just want to give the nodes and how nodes connect to each other and the ontology by itself define the relationship. Is this possible?
Great presentation! I’m currently building a platform and I don’t know what I’d be doing without Neo4j!
nice :)
There's nothing like that for multiples CSV's?
not quite, but with the Data Importer loading multiple CSVs becomes very easy and you can map them to a graph and then go from there: neo4j.com/docs/data-importer/current/
which app is the one that you use for the chatbot?
all info about the components are here: neo4j.com/labs/genai-ecosystem/llm-graph-builder/
This is awesome. OAG is really relevant to me. I see you created a vector index for your ontology's relationships. Would I need to create those for every relationship in my ontology? Or can I create a generic (possibly less accurate) vector index that will attempt to use any relationship available?
Very helpful. Thanks!
Thank you!
Great.
Was expecting to see the code to build the graph, not a demo of a GUI that does this
github repo is in the description
the pull mode is not in the hub anymore... what happened?
Hey what is the best library in the front end I should use to get such results?
This was done with Bloom: neo4j.com/product/bloom/ There are also other tools and libraries you can take a look at: neo4j.com/docs/getting-started/graph-visualization/graph-visualization-tools/
Can we create one vector index for multiple node labels? If not then should we create vector index of each label and how do we query on multiple vector index then?
Not yet. A vector index currently covers a single label. The simplest workaround is to create a new label dedicated to scoping your vector index. Querying multiple indexes and combining the results is possible using a pattern like: CALL { CALL db.index.vector.queryNodes('vIndex1', 5, $query) YIELD node, score RETURN node, score UNION CALL db.index.vector.queryNodes('vIndex2', 5, $query) YIELD node, score RETURN node, score } RETURN node, score ORDER BY score DESC
The loading of the dump file fails despite using the same recommendations-40.dump
When different graphs have nodes that represent the same entity, those nodes can be linked as a way to merge the graphs. Correct?
yes, that is correct. You can look at how this is done: ruclips.net/user/live9ZXuof23Noo?si=O1ju9lw3-8YjfekU or ruclips.net/user/liveAurp3eztRHM?si=d8hkOq2BEeDeqn1-
BRING THIS BACK!!🐉
We are taking a short break over summer and will be back with S2 in September: neo4j.com/developer-blog/going-meta-knowledge-graph-rag-vector/
Honestly, this was an amazing breakdown of what graph databases are. Thank you.
Thank you!