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Title & Speakers	Event
Event All Things LLM: Vector Stores, Knowledge Graphs & Models 2024-04-25
Opening Notes from Haystack 2024-04-25 · 16:00 Some information about the meetup and Haystack by Bilge Yücel. Get to learn about Haystack 2.0 and all the cool ways you can customize your AI pipelines. haystack
Talk by mixedbread.ai 2024-04-25 · 16:00 mixedbread.ai
Talk by Qdrant 2024-04-25 · 16:00 qdrant
Superpower your GenAI-Applications with GraphRAG using Haystack and Neo4j 2024-04-25 · 16:00 As you might have experienced, LLMs are powerful but not always trustworthy assistants. With a combination of a knowledge graph and vector search, you can provide the LLM with the correct, relevant context information it needs to answer your user's questions. GraphRAG is an advanced RAG (retrieval augmented generation) pattern in the Haystack-Neo4j integration. In this talk, we'll explain and demonstrate the building blocks of such an approach and show an example of code and live in action. Of course, nothing is perfect; it's important to walk through the challenges of building such GenAI apps and how to address them. graphrag haystack Neo4j

Opening Notes from Haystack 2024-04-25 · 16:00

Some information about the meetup and Haystack by Bilge Yücel. Get to learn about Haystack 2.0 and all the cool ways you can customize your AI pipelines.

haystack

Talk by mixedbread.ai 2024-04-25 · 16:00

mixedbread.ai

Talk by Qdrant 2024-04-25 · 16:00

qdrant

Superpower your GenAI-Applications with GraphRAG using Haystack and Neo4j 2024-04-25 · 16:00

As you might have experienced, LLMs are powerful but not always trustworthy assistants. With a combination of a knowledge graph and vector search, you can provide the LLM with the correct, relevant context information it needs to answer your user's questions. GraphRAG is an advanced RAG (retrieval augmented generation) pattern in the Haystack-Neo4j integration. In this talk, we'll explain and demonstrate the building blocks of such an approach and show an example of code and live in action. Of course, nothing is perfect; it's important to walk through the challenges of building such GenAI apps and how to address them.

graphrag haystack Neo4j

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