Latest news about #Neo4j
News:
A powerful collaboration with 微软 to advance GenAI and data solutions!
Neo4j’s native integrations with Microsoft Fabric and Microsoft Azure OpenAI Service unify data management, improve accuracy, and reduce hallucination in AI applications.
Customers can now unlock deeper insights, navigate complex data relationships, and drive better decision-making and innovation in ways that were not possible before. Together, we’re helping customers redefine what’s possible for their data in an increasingly interconnected GenAI world.
Learn more in our latest blog by Ben Lackey and Anurag Tandon.
#RAG:
We can agree that the challenge when building a great ?#RAG app is handling structured text alongside unstructured text- Tomaz Bratanic explains a solution in this blog ??
#knowledgeGraphs can store structured and unstructured text within a single database, reducing the work required to give your LLM the needed information.
Take a look:
#GraphAcademy:
New course: Understand unstructured data using #Neo4j and #vector indexes:
1?? Explore unstructured datasets, create embeddings and vector indexes, and use them to search and understand the data.
2?? Learn how to process unstructured data, use chunking strategies, and create relationships between the data.
3?? Build a graph database of unstructured data, use #Python, LangChain , and OpenAI to process the data, create embeddings, and import it into Neo4j.
Events:
See you at #GoogleCloudNext?
Visit our booth and participate in ?? Christopher Crosbie presentation "Your guide to real-time RAG," where he'll demonstrate how to build an accurate and up-to-date real-time generative AI application using a combination of Dataflow and graph databases.
#Neo4j #GenAI #RAG #KNOWLEDGEGRAPHS #llms #graphdatabase