On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
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Contenuto fornito da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Manage episode 426550313 series 2896282
Contenuto fornito da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Speaker Resources:
- Testcontainers https://testcontainers.com/
- NODES 2024 https://dev.neo4j.com/nodes24
Tools of the Month:
- Neo4j Kubernetes documentation https://neo4j.com/docs/operations-manual/current/kubernetes/
- ragas framework https://ragas.io/
- Haiper.ai https://haiper.ai/home (Neo4j GenAI Package + DreamStudio.ai)
Announcements / News:
- Neo4j GenAI Ecosystem Tools https://neo4j.com/labs/genai-ecosystem/
- Neo4j Knowledge Graph Builder https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/
- Neoconverse (text-to-cypher) https://neo4j.com/labs/genai-ecosystem/neoconverse/
- LLM framework integrations: LlamaIndex, LangChain, Spring AI, Haystack, Langchain4j, Semantik Kernel, DSPy
- Project Runway
- Repository https://github.com/a-s-g93/neo4j-runway
Articles:
- GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java https://neo4j.com/developer-blog/genai-starter-kit-spring-java/
- Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example https://neo4j.com/developer-blog/knowledge-graph-vs-vector-rag/
- From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG (Part 3) https://neo4j.com/developer-blog/mahabharata-epic-graph-database-3/
- Unleashing the Power of NLP with LlamaIndex and Neo4j https://neo4j.com/developer-blog/nlp-llamaindex-neo4j/
- Rags to Reqs: Making ASVS Accessible Through the Power of Graphs and Chatbots https://neo4j.com/developer-blog/asvs-security-graph-chatbot/
- Data Exploration With the Neo4j Runway Python Library https://neo4j.com/developer-blog/neo4j-runway-python-exploration/
- Easy Data Ingestion With Neo4j Runway and arrows.app https://neo4j.com/developer-blog/neo4j-runway-python-ingestion/
- A Tale of LLMs and Graphs: The GenAI Graph Gathering https://neo4j.com/developer-blog/genai-graph-gathering/
- Get Started With GraphRAG: Neo4j’s Ecosystem Tools https://neo4j.com/developer-blog/graphrag-ecosystem-tools/
- LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes https://neo4j.com/developer-blog/graphrag-llm-knowledge-graph-builder/
- A Brief History of SQL and the Rise of Graph Queries https://neo4j.com/developer-blog/gql-sql-history/
- Customizing Property Graph Index in LlamaIndex https://neo4j.com/developer-blog/property-graph-index-llamaindex/
- Graph Exploration By All MEANS With mongo2neo4j and SemSpect https://neo4j.com/developer-blog/mean-stack-mongo2neo4j-semspect/
- Mix and Batch: A Technique for Fast, Parallel Relationship Loading in Neo4j https://neo4j.com/developer-blog/mix-and-batch-relationship-load/
Videos:
- NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIc
Events:
- (Jul 4) Livestream (virtual): GraphAcademy Live: Cypher Fundamentals https://www.youtube.com/@neo4j/live
- (Jul 8) Workshop (Bengaluru, India): Neo4j and GCP Generative AI Workshop
- (Jul 9) GenAI + Graph Meetup (Osaka, Japan) https://jp-neo4j-usersgroup.connpass.com/event/322658/
- (Jul 17-19) Conference (Berlin, Germany): WeAreDevelopers World Congress 2024 https://www.wearedevelopers.com/world-congress
- (Jul 18) Meetup (Berlin, Germany): Ollama & Friends Coming to AI Tinkerers Berlin https://berlin.aitinkerers.org/p/ollama-friends-coming-to-ai-tinkerers-berlin
- (Jul 19) Meetup (Bengaluru, India): Graphing the Future: How Generative AI, RAGs and Knowledge Graphs are Shaping AI https://www.meetup.com/graph-database-bengaluru/events/301273119/?isFirstPublish=true
- (Jul 28-30) Conference (Sydney, Australia): Gartner Data & Analytics Summit Sydney https://neo4j.com/event/gartner-data-analytics-summit-sydney-2/
- (Jul 28 - Aug 2) Conference (Wisconsin Dells, Wisconsin, USA): THAT Conference https://thatconference.com/activities/4AlNeqK2OogWQFdhkfuc
- (Jul 31) Meetup (Richmond, Virginia, USA): Connecting the future: Integrating Neo4j with GenAI, LLMs and RAGs https://www.meetup.com/graphdb-melbourne/events/301618964/?isFirstPublish=true
- (Jul 31) Meetup (Sydney, Australia): Decoding the Generative AI Landscape: A Deep Dive into RAGs and Graphs https://www.meetup.com/graphdb-sydney/events/301635885/?isFirstPublish=true
34 episodi
Manage episode 426550313 series 2896282
Contenuto fornito da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Neo4j, Inc, Jason Koo, Jennifer Reif, Andreas Kollegger, and Alison Cossette o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Speaker Resources:
- Testcontainers https://testcontainers.com/
- NODES 2024 https://dev.neo4j.com/nodes24
Tools of the Month:
- Neo4j Kubernetes documentation https://neo4j.com/docs/operations-manual/current/kubernetes/
- ragas framework https://ragas.io/
- Haiper.ai https://haiper.ai/home (Neo4j GenAI Package + DreamStudio.ai)
Announcements / News:
- Neo4j GenAI Ecosystem Tools https://neo4j.com/labs/genai-ecosystem/
- Neo4j Knowledge Graph Builder https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/
- Neoconverse (text-to-cypher) https://neo4j.com/labs/genai-ecosystem/neoconverse/
- LLM framework integrations: LlamaIndex, LangChain, Spring AI, Haystack, Langchain4j, Semantik Kernel, DSPy
- Project Runway
- Repository https://github.com/a-s-g93/neo4j-runway
Articles:
- GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java https://neo4j.com/developer-blog/genai-starter-kit-spring-java/
- Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example https://neo4j.com/developer-blog/knowledge-graph-vs-vector-rag/
- From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG (Part 3) https://neo4j.com/developer-blog/mahabharata-epic-graph-database-3/
- Unleashing the Power of NLP with LlamaIndex and Neo4j https://neo4j.com/developer-blog/nlp-llamaindex-neo4j/
- Rags to Reqs: Making ASVS Accessible Through the Power of Graphs and Chatbots https://neo4j.com/developer-blog/asvs-security-graph-chatbot/
- Data Exploration With the Neo4j Runway Python Library https://neo4j.com/developer-blog/neo4j-runway-python-exploration/
- Easy Data Ingestion With Neo4j Runway and arrows.app https://neo4j.com/developer-blog/neo4j-runway-python-ingestion/
- A Tale of LLMs and Graphs: The GenAI Graph Gathering https://neo4j.com/developer-blog/genai-graph-gathering/
- Get Started With GraphRAG: Neo4j’s Ecosystem Tools https://neo4j.com/developer-blog/graphrag-ecosystem-tools/
- LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes https://neo4j.com/developer-blog/graphrag-llm-knowledge-graph-builder/
- A Brief History of SQL and the Rise of Graph Queries https://neo4j.com/developer-blog/gql-sql-history/
- Customizing Property Graph Index in LlamaIndex https://neo4j.com/developer-blog/property-graph-index-llamaindex/
- Graph Exploration By All MEANS With mongo2neo4j and SemSpect https://neo4j.com/developer-blog/mean-stack-mongo2neo4j-semspect/
- Mix and Batch: A Technique for Fast, Parallel Relationship Loading in Neo4j https://neo4j.com/developer-blog/mix-and-batch-relationship-load/
Videos:
- NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIc
Events:
- (Jul 4) Livestream (virtual): GraphAcademy Live: Cypher Fundamentals https://www.youtube.com/@neo4j/live
- (Jul 8) Workshop (Bengaluru, India): Neo4j and GCP Generative AI Workshop
- (Jul 9) GenAI + Graph Meetup (Osaka, Japan) https://jp-neo4j-usersgroup.connpass.com/event/322658/
- (Jul 17-19) Conference (Berlin, Germany): WeAreDevelopers World Congress 2024 https://www.wearedevelopers.com/world-congress
- (Jul 18) Meetup (Berlin, Germany): Ollama & Friends Coming to AI Tinkerers Berlin https://berlin.aitinkerers.org/p/ollama-friends-coming-to-ai-tinkerers-berlin
- (Jul 19) Meetup (Bengaluru, India): Graphing the Future: How Generative AI, RAGs and Knowledge Graphs are Shaping AI https://www.meetup.com/graph-database-bengaluru/events/301273119/?isFirstPublish=true
- (Jul 28-30) Conference (Sydney, Australia): Gartner Data & Analytics Summit Sydney https://neo4j.com/event/gartner-data-analytics-summit-sydney-2/
- (Jul 28 - Aug 2) Conference (Wisconsin Dells, Wisconsin, USA): THAT Conference https://thatconference.com/activities/4AlNeqK2OogWQFdhkfuc
- (Jul 31) Meetup (Richmond, Virginia, USA): Connecting the future: Integrating Neo4j with GenAI, LLMs and RAGs https://www.meetup.com/graphdb-melbourne/events/301618964/?isFirstPublish=true
- (Jul 31) Meetup (Sydney, Australia): Decoding the Generative AI Landscape: A Deep Dive into RAGs and Graphs https://www.meetup.com/graphdb-sydney/events/301635885/?isFirstPublish=true
34 episodi
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