A Visual AI Search Flow Builder for OpenSearch: Build GenAI and Vector...
summary
A low‑code UI plus a backend plugin actually provisions end‑to‑end OpenSearch ML stacks with a single API call: it registers connectors and models (Cohere, OpenAI, DeepSeek), creates ingest pipelines, a KNN index, and a search pipeline with score normalization. Demo uses an Amazon gift‑card corpus with 384‑dim vectors, ingests and returns normalized hybrid results, and successfully deprovisions resources. Workflows export as reusable templates; one‑click API templates cover semantic, hybrid, multimodal, RAG and an agentic search experimental in 3.2 path toward GA in 3.3.
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chapters (7)
- 0:00Introduction to flow framework
- 2:10Manual vs framework setup
- 4:48Flow framework demo
- 9:22Backend plugin mechanics
- 11:52AI search flows UI
- 19:08Agentic search features
- 26:04Future roadmap and Q&A
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