If you want a platform to construct a knowledge graph of entities and topics, Golden is worth a serious evaluation. It's building the world's largest open knowledge graph with natural language processing technology and offers features like smart search, a query interface with detailed filtering options, and private workspaces for collaborative research. It's a good option for individuals and organizations that need to speed up research, automate data collection and stay up to date with the latest information on tech, finance and sales.
Another good option is Neo4j, a graph data platform that's good at connecting and analyzing complex data. It has tools for data science and machine learning, vector search and analytics, so it's a good foundation for building and managing knowledge graphs at large scale. Neo4j has enterprise-class security and flexibility with options to self-host, cloud-manage or fully manage the software, and it's geared for developers, data scientists and companies that need serious data infrastructure.
For a no-code AI platform, Lettria takes a different approach by marrying Large Language Models with symbolic AI. You can construct your own NLP models for tasks like ontology enrichment and text-to-graph processing. With tools for text preprocessing and classification, Lettria has a user-friendly interface for easy integration and deployment, making it a good option for constructing knowledge graphs and exploring complex entity relationships.
Last, Glean is an AI assistant platform that generates answers based on a company's data, connecting all enterprise data into a single knowledge graph. It offers Glean Apps for custom generative AI agents and assistants, and Responsible AI for data security and privacy. The platform is geared for engineering, support and sales teams that need to work more efficiently with answers they can trust and that are personalized based on enterprise data.