Kotaemon vs Weaviate

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Kotaemon RAG	Weaviate RAG
Tagline	Open-source RAG UI for chatting with your own documents, locally or self-hosted.	Open-source vector DB with hybrid search and modules.
Category	RAG	RAG
Pricing	Free· Free, open-source (MIT-style); self-hosted infrastructure costs only	Freemium· Free open-source; cloud from $25/mo
Model	Multi-model (OpenAI, LlamaCPP, any OpenAI-compatible endpoint)	Hosted vector DB (not an LLM)
Editorial score	—	8.4 / 10
Use cases	document-qaprivate-ragcitation-grounded-chatlocal-llm-frontendknowledge-base-search	self-hosted RAGhybrid search
Pros	Genuinely model- and vector-store-agnostic; swap backends without touching code Citations with source highlights, not just naked LLM answers One-click HuggingFace Spaces deploy or local installer scripts Active GitHub project with clear extension hooks for developers	Hybrid search built in Self-host or cloud Module ecosystem GraphQL + REST APIs
Cons	Gradio UI feels prototype-grade compared to commercial RAG products Default admin/admin credentials and thin auth aren't production-ready Self-hosted only — no managed SaaS option if you don't want to run it	More ops than Pinecone if self-hosted Smaller community
Website	cinnamon.github.io	weaviate.io

Pick Kotaemon if

✅ Genuinely model- and vector-store-agnostic; swap backends without touching code
✅ Citations with source highlights, not just naked LLM answers
✅ One-click HuggingFace Spaces deploy or local installer scripts
✅ Active GitHub project with clear extension hooks for developers

Pick Weaviate if