Vectorize 2.0 - Complete RAG agents (chatbot, MCP) with little or no code

Congrats on the launch! Here's my two cents:

Great promise to liberate developers from 'toy' AI projects by generating production-ready, open-stack code (React/Node/Postgres) that prevents vendor lock-in and ensures scalability.

While I think primary risk is that the definition of 'production-ready' is subjective and enterprise-grade requirements around security, observability, and compliance may render the generated code insufficient, positioning the tool as just another boilerplate generator in a crowded market.

If so, I'm thinking would it be the first priority to validate the definition of 'production-ready' with enterprise architects? Focus the initial wedge on technical founders in who prioritize long-term portability over the immediate convenience of closed ecosystems.

How closely is Vectorize linked to a specific vector database? Can it operate across platforms like Pinecone, Weaviate, Milvus, etc. or is it tailored for just one environment?

I love this does it also provide evaluation metrics for various models?

Vectorize 2.0 brings it all together, hosted chat agents, no-code chatbot builder, one-line widget integration, Remote MCP for Claude & Cursor, real-time pipelines, and smarter retrieval with hybrid search + knowledge graphs. It’s everything users asked for, now in one powerful stack.

I love how Vectorize focuses on keeping data up-to date that’s something that often gets overlooked. Does the refresh pipeline kick in automatically when there are updates to the source or does it follow a set schedule?

impressive how you've made rag pipelines so accessible - the no-code approach is a game changer for developers :))

building rag pipelines with no code sounds amazing :)) the hybrid search and knowledge graph features could really improve retrieval accuracy

hai your welcome