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Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG)!

This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline, and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG)!

This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline, and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG)!

This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline, and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG)!

This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline, and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG). This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG). This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG). This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG). This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline and shaping the future of AI tooling.

Guest: Vasilije Markovic cognee.ai

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG
Riccardo Amadio – Big Data Engineer and Dagster Evangelist

Big Data Engineer and Dagster Evangelist discusses Dagster as a modern data orchestrator.

Dagster
Vasilije Markovic – Founder @ Cognee.ai

Vasilije Markovic discusses enriching LLM context with multilayer graphs.

multilayer graphs llm context
Aleksandr "Sasha" Zolotukhin – Head of Business Intelligence @ JustWatch GmbH

Lightdash evaluation, integration, and user experience at JustWatch.

Lightdash

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2024031309 (Due to room capacity and building security, it's required to pre-register at the link for admission).

Welcome to the monthly in-person AI meetup in Berlin, in collaboration with Weaviate. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin and networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: Understand Social Media with Vector Search Speaker: Adam Chan (Weaviate) Abstract: In this talk, I will discuss and demo in real time some automation that is used to augment social media analytics through the power of vector databases and large language models.

Tech Talk: Cognee - semantic LLM context and chatbot integration Speaker: Vasilije Markovic (Topoteretes) Abstract: We will show how to use cognee to enrich LLM context and explain how LLMs, vector stores, graph databases and relational databases can be used together to decompose text, understand underlying semantic layers, connect them and provide LLMs with better context.

Tech Talk: The Power of Context: Exploring Google Gemini 1.5 Speaker: Gerard Sans (Google Developer Expert) Abstract: In this talk, get an exclusive first look at Google's groundbreaking Gemini 1.5 in action! This multimodal language model features a Mixture of Experts (MoE) architecture and a revolutionary 1 million token context window, allowing it to understand complex inputs with exceptional depth. We'll explore live demos showcasing how this translates to vastly improved AI assistance for users and its impact on RAG systems.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 8,000+ AI developers in Berlin or 300K+ worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

AI Meetup (with Weaviate): AI and LLMs in Production
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