Question: Can you recommend a platform that allows me to build knowledge graphs and improve AI and ML model performance?

Neo4j is a graph data platform that's geared for complex data analysis and machine learning. You can build and manage large-scale graph databases with it, which is a good foundation for knowledge graphs. With vector search and analytics tools, Neo4j can help you get real-time insights, and it offers a variety of deployment options for flexibility and security.

Lettria is a no-code AI platform for organizing and extracting insights from text data. It marries Large Language Models with symbolic AI to build custom NLP models that can be used for tasks like ontology enrichment and text-to-graph conversions. It's a good option for building knowledge graphs from unstructured text data, and it's designed to protect data security and privacy.

Graphlit is an API-first approach to building AI-powered applications with unstructured data. It uses Large Multimodal Models to extract insights from documents, audio, video and images. With tools like automatic transcription and multimodal search, Graphlit is a good option for enriching data and improving AI model performance. Its serverless, cloud-native design means you can easily integrate it without having to set up infrastructure.