Vespa + hybrid search engine setup — Blueprint | Agentifact

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Vespa + hybrid search engine setup

vespaintermediate30 min

Vespa + hybrid search engine setup

Scalable RAG pipelines with fused lexical+semantic retrieval for production AI agents.

Prerequisites

→Docker/Podman (6GB+ RAM)
→Vespa CLI
→Python libs (ir_datasets)
→Dataset in JSONL
→Hugging Face embedder model access.

Tools used

Further reading

https://docs.vespa.ai/en/learn/tutorials/hybrid-search.html

Related Concepts

Agent OrchestrationConcept Tool UseConcept Function CallingConcept Agent RuntimeConcept

Browse full Lexicon →

Difficulty

intermediate

Time Estimate

30 min

Tools

vespa

Related Terms

Agent Orchestration Tool Use Function Calling Agent Runtime

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