Neo4j Raises 47M and Prepares for US IPO as Valuation Tops 2BillionNeo4j secured €47 million in funding, valued over €2 billion, and is preparing for an IPO in the US.
Database startup Neo4j embraces AI to supercharge growth | TechCrunchGraph databases are essential for AI development by enabling connections between vast amounts of data, which traditional databases struggle to manage.
New GraphAcademy Course: Transform Unstructured Data into Knowledge Graphs with LLMs and Python | HackerNoonParticipants will learn to create and query knowledge graphs using large language models from unstructured data. This enhances understanding and application in GenAI.
Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries | HackerNoonText embedding models are powerful for unstructured text but inadequate for structured data operations.
Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain | HackerNoonGraphRAG enhances information retrieval by combining structured graph databases with unstructured text.
Database startup Neo4j embraces AI to supercharge growth | TechCrunchGraph databases are essential for AI development by enabling connections between vast amounts of data, which traditional databases struggle to manage.
New GraphAcademy Course: Transform Unstructured Data into Knowledge Graphs with LLMs and Python | HackerNoonParticipants will learn to create and query knowledge graphs using large language models from unstructured data. This enhances understanding and application in GenAI.
Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries | HackerNoonText embedding models are powerful for unstructured text but inadequate for structured data operations.
Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain | HackerNoonGraphRAG enhances information retrieval by combining structured graph databases with unstructured text.
Transforming CSV Files into Graphs with LLMs: A Step-by-Step Guide | HackerNoonIterative approaches in graph data modeling enhance user experience with Neo4j, particularly when integrating LLMs for initial model creation.
Graph database query language gets ISO recognitionGQL recognized by ISO for graph databases, enhancing query portability and skills transfer.