LlamaIndex vs Weaviate
Compare these two Context tools side-by-side to find the best fit for your project.
LlamaIndex
Context
9/10
Data framework for agent and RAG applications spanning parsing, extraction, indexing, retrieval, and knowledge workflows across many data sources.
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Weaviate
Context
9/10
Vector database with hybrid search, built-in vectorizers, and AI-native indexing for teams that want retrieval infrastructure with richer search behavior.
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Choose LlamaIndex if:
- Multi-format document parsing
- Advanced indexing for retrieval
- Query pipeline customization
Choose Weaviate if:
- Hybrid Search with BM25
- Built-in Vectorizers
- Rich Metadata Filtering
Feature Comparison
| Feature | LlamaIndex | Weaviate |
|---|---|---|
| Category | Context | Context |
| Pricing Model | Usage-Based | Freemium |
| Starting Price | $500/mo | $45/mo |
| Rating | 9/10 | 9/10 |
| Complexity | Intermediate | Intermediate |
| AI Models | Llama | Gemini |
| Integrations | Knowledge Bases & SaaS Apps, Files, Docs & Websites, Vector Databases, LlamaIndex, OpenAI | LangChain, LlamaIndex, OpenAI, Anthropic Claude, Cloud Platforms |
| Best For | LlamaIndex is ideal for enterprises building document-heavy RAG systems across diverse formats (PDFs, databases, APIs, web content) where sophisticated parsing, indexing, and retrieval customization are needed. It's best suited for teams handling complex knowledge workflows—like research automation, multi-document Q&A, and table extraction—where off-the-shelf retrieval isn't sufficient. | Teams building retrieval systems that need more sophisticated search behavior than pure vector databases should provide should consider Weaviate's hybrid approach. It's best for organizations that want retrieval infrastructure tightly integrated with their knowledge graph and need flexible filtering across both structured metadata and semantic similarity. |
LlamaIndex
Pros
- Multi-format document parsing
- Advanced indexing for retrieval
- Query pipeline customization
- Agent and RAG workflow templates
Considerations
- May require setup time
- Check pricing for your scale
Weaviate
Pros
- Hybrid Search with BM25
- Built-in Vectorizers
- Rich Metadata Filtering
- Graph-aware Indexing
Considerations
- May require setup time
- Check pricing for your scale