LangChain vs Vespa
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangChain RAG | Vespa RAG | |
|---|---|---|
| Tagline | The broad LLM application framework — chains, agents, retrievers. | Yahoo's open-source search engine with vector + sparse retrieval. |
| Category | RAG | RAG |
| Pricing | Freemium· Free open-source; LangSmith paid | Freemium· Free open-source; Vespa Cloud paid |
| Model | BYO (any major LLM) | Hosted search engine (not an LLM) |
| Editorial score | 8.3 / 10 | 8.2 / 10 |
| Use cases | general LLM appsRAGagents | large-scale searchrankinghybrid retrieval |
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| Website | www.langchain.com | vespa.ai |
Pick LangChain if
- ✅ Massive integration surface
- ✅ Familiar to most LLM engineers
- ✅ Pairs well with LangSmith for eval
- ✅ TypeScript + Python
Pick Vespa if
- ✅ Battle-tested at huge scale
- ✅ Mixed retrieval out of the box
- ✅ Open source
- ✅ Built-in ML ranking support