📖 The AI Tool Bible

RAGs by LlamaIndex vs Weaviate

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

 
RAGs by LlamaIndex
RAG
Weaviate
RAG
TaglineOpen-source Streamlit app that builds a custom RAG pipeline from a natural-language brief.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFree· Free, MIT-licensed; bring your own model/API keysFreemium· Free open-source; cloud from $25/mo
ModelMulti-model (OpenAI, Anthropic, Replicate, HuggingFace)Hosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
natural-language-rag-builderdocument-qallamaindex-prototypingchatbot-over-private-data
self-hosted RAGhybrid search
Pros
  • MIT-licensed and self-hostable with full control over data
  • Natural-language interface to configure a real LlamaIndex RAG pipeline
  • Provider-agnostic: OpenAI, Anthropic, Replicate and HuggingFace LLMs
  • Exposes chunk size, top-K and embedding model as tunable knobs
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Streamlit reference app, not a production-grade hosted service
  • Maintenance-mode repo with relatively few commits
  • Requires your own API keys and infra to run
  • No built-in auth, eval or multi-tenant support
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitegithub.comweaviate.io
Pick RAGs by LlamaIndex if
  • ✅ MIT-licensed and self-hostable with full control over data
  • ✅ Natural-language interface to configure a real LlamaIndex RAG pipeline
  • ✅ Provider-agnostic: OpenAI, Anthropic, Replicate and HuggingFace LLMs
  • ✅ Exposes chunk size, top-K and embedding model as tunable knobs
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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