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Editorial comparison for operators. Ratings are sample data unless verified.
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.
| Attribute | LlamaIndex | Weaviate |
|---|---|---|
| Type | tool | tool |
| Summary | The plumbing between your data and LLMs. LlamaIndex handles ingestion, indexing, and retrieval so you stop building RAG from scratch. | Vector database that turns semantic search from a research project into production infrastructure. Store embeddings, retrieve by meaning, build RAG systems that actually work. |
| Pricing | free · See vendor site | freemium · See vendor site |
| Free trial | No / not listed | No / not listed |
| API | Yes | Yes |
| Open source | Yes | Yes |
| Editor rating | — | — |
| Categories | AI Infrastructure, Data & Analytics, Developer Tools | Data & Infrastructure, AI & Machine Learning |
| Key features | 100+ data connectors for documents, databases, APIs, web pages, and SaaS tools · Multiple indexing strategies: vector, keyword, hybrid, and graph-based indices · Automatic document chunking with configurable strategies to preserve semantic meaning · Built-in support for 20+ embedding models and LLM providers · Query optimization and retrieval ranking to surface most relevant context | Open source vector database with self-hosted and managed cloud options · Native integrations with LLM providers (OpenAI, Cohere, Hugging Face) for automatic embedding · HNSW indexing for fast approximate nearest neighbor search at scale · Hybrid search combining vector similarity with keyword/BM25 filtering · Multi-tenancy and role-based access control for enterprise deployments |
| Actions |
LlamaIndex: The plumbing between your data and LLMs. LlamaIndex handles ingestion, indexing, and retrieval so you stop building RAG from scratch. Pricing: free (from See vendor site). Weaviate: Vector database that turns semantic search from a research project into production infrastructure. Store embeddings, retrieve by meaning, build RAG systems that actually work. Pricing: freemium (from See vendor site). Both are covered editorially on OperatorRadar; verify current features on the vendor sites.
LlamaIndex and Weaviate list free access (trial or free plan). Check each vendor for current limits.
LlamaIndex is the most budget-friendly entry point — it offers a free plan to start.
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