Question: I'm looking for a no-code AI solution that can help me transform unstructured text into reliable information and knowledge graphs.

If you're looking for a no-code AI solution to turn unstructured text into useful information and knowledge graphs, Lettria is worth a look. The service marries Large Language Models (LLMs) with symbolic AI to extract information from text. It includes Lettria Knowledge Studio for creating custom NLP models and building knowledge graphs, and NLP Studio for text processing, mining, classification and prompt engineering. The service includes data security and privacy controls, so you can run it on any private or public cloud.

Another contender is Glean. Glean uses Retrieval Augmented Generation (RAG) technology to generate answers based on enterprise data that can be connected into a single knowledge graph. The service is designed to deliver trusted and personalized answers, making it a good fit for engineering, support and sales teams. It includes Glean Apps for custom generative AI agents and assistants, along with scalable infrastructure and auditing tools.

Graphlit is an API-first service that can extract information from unstructured data like documents, audio, video and images. It uses Large Multimodal Models (LMMs) and offers automated content workflows, web scraping and OCR and LLM-based text extraction. That makes it a good fit for developers building AI-powered apps in various industries, with multimodal abilities and a serverless, cloud-native design.

Last, GPTBots offers a no-code service to build AI-powered business apps by combining LLMs with enterprise data, services and workflows. It can handle real-time training and multimodal dialogue input, and integrates with thousands of tools and apps. It's good for businesses that want to improve productivity and efficiency with answers generated by AI and that need to keep data private.