Question: Is there a platform that offers out-of-the-box connectors to popular services like Hugging Face and Google Vertex for building RAG applications?

If you're looking for a platform with out-of-the-box connectors to services like Hugging Face and Google Vertex for creating RAG applications, Vectorize is a good option. It comes with built-in connectors to those services as well as LangChain, which makes it easy to transform unstructured data into optimized vector search indexes. With a variety of pricing levels, including a free tier, it can handle a range of needs and scale, so it's a good choice for creating RAG apps for chatbots, content generation and AI assistants.

Another good option is SciPhi, which offers flexible document ingestion, advanced document management and dynamic scaling. It can connect to third-party data retrieval services and use the latest techniques like HyDE and RAG-Fusion. SciPhi also offers open-source options with detailed documentation and a large community of developers, so it's good for small and large projects.

If you're looking for something more scalable, Neum AI is an open-source framework for building and managing data infrastructure for RAG and semantic search. It has connectors to different data sources and models, supports real-time data embedding and indexing, and comes with a production-ready cloud platform with distributed architecture. Its tiered pricing, including a free starter plan, means it can handle different needs and scale.

Last, Glean lets you build AI assistants and chatbots that use a company's data to provide answers with RAG technology. It connects to enterprise data across content, people and interactions and has turnkey setup with more than 100 connectors. Glean is good for engineering, support and sales teams that need quick, personalized information and answers.