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Weaviate vs LlamaIndex
Weaviate vs LlamaIndex: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Weaviate vs LlamaIndex : buying comparison
This comparison helps choose between Weaviate and LlamaIndex by pricing, use case, models, integration, privacy and governance.
Budget: Weaviate · $0+ / $45+. Rating: LlamaIndex · 4.5/5.
| Criteria | Weaviate | LlamaIndex |
|---|---|---|
| Price | $0+ / $45+ | $0+ credits |
| Best for | Open-source vector search, hybrid retrieval, RAG and AI memory platforms | RAG, document agents, parsing, indexing and data workflows for LLM applications |
| Models | Vector search, hybrid search, RAG, memory, modules, compression and managed clusters | Indexes, retrieval, agents, workflows, LlamaParse, extraction, document understanding and LlamaCloud |
| Privacy | Open-source self-hosting plus managed cloud options with enterprise controls | Open-source framework for local use; cloud parsing/indexing data handling depends on LlamaCloud configuration |
| Rating | 4.4/5 | 4.5/5 |
Frequently asked questions
Weaviate or LlamaIndex: which one should you choose?
Choose Weaviate if entry budget is the priority. Choose LlamaIndex if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Weaviate and LlamaIndex cover the same need?
Not exactly. Compare the real workflow: IDE, terminal, governance, code review or app generation.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.