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LlamaIndex vs Weaviate

Editorial comparison for operators. Ratings are sample data unless verified.

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  3. LlamaIndex / Weaviate

This comparison puts LlamaIndex and Weaviate side by side for operators evaluating them in 2026 — pricing model, free access, API availability, and editorial fit. They serve overlapping jobs, so the right pick depends on pricing model, integrations, and how each fits your existing workflow. Treat ratings and pricing as directional and confirm current details on each vendor's site before committing.

AttributeLlamaIndexWeaviate
Type
tool
tool
SummaryOpen-source data framework for connecting custom data sources to LLM applications. LlamaIndex simplifies RAG pipeline construction and LLM data indexing.Open source vector database for semantic search and AI applications. Weaviate enables teams to build scalable vector search at scale with native support for generative AI integrations.
Pricingfree · See vendor site — sample datafreemium · See vendor site — sample data
Free trialNo / not listedNo / not listed
APIYesYes
Open sourceYesYes
Editor rating——
CategoriesAI Infrastructure, Data & Analytics, Developer ToolsData & Infrastructure, AI & Machine Learning
Key features100+ pre-built data connectors for loading from files, databases, APIs, and cloud storage · Flexible document chunking and parsing with support for multiple file formats · Multiple index types including vector, keyword, tree, and SQL indices · Query engines with automatic routing and response synthesis · Agent framework for multi-step reasoning and tool useVector storage and similarity search with configurable distance metrics (cosine, dot product, Euclidean) · Native integrations with OpenAI, Cohere, Hugging Face, and other embedding providers (verify on vendor site for current integrations) · Hybrid search combining vector similarity with keyword and metadata filtering · GraphQL and REST APIs for flexible querying and integration · Multi-tenancy support for isolating data across customers or projects
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Which should you choose?

  • LlamaIndex is the most budget-friendly entry point — it offers a free plan to start.

LlamaIndex vs Weaviate: frequently asked questions

What is the difference between LlamaIndex vs Weaviate?

LlamaIndex: Open-source data framework for connecting custom data sources to LLM applications. LlamaIndex simplifies RAG pipeline construction and LLM data indexing. Pricing: free (from See vendor site — sample data). Weaviate: Open source vector database for semantic search and AI applications. Weaviate enables teams to build scalable vector search at scale with native support for generative AI integrations. Pricing: freemium (from See vendor site — sample data). Both are covered editorially on OperatorRadar; verify current features on the vendor sites.

Do LlamaIndex and Weaviate offer a free trial?

LlamaIndex and Weaviate list free access (trial or free plan). Check each vendor for current limits.

Which is better for my team, LlamaIndex or Weaviate?

LlamaIndex is the most budget-friendly entry point — it offers a free plan to start.

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LlamaIndex
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