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Build Powerful Search Features in FastAPI with Elasticsearch

niklasdev

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Build Powerful Search Features in FastAPI with Elasticsearch

944 просмотра · 10 месяцев назад
niklasdev
171 подписчик
944 просмотра · 10 месяцев назад
In this video, we build a production-ready blog search API using FastAPI and Elasticsearch. We cover everything from Docker setup to implementing advanced search features like fuzzy matching, field boosting, and relevance scoring. 🔗 Project Repository: https://github.com/Niklas-dev/fastapi... 🔗 My GitHub: https://github.com/Niklas-dev 🚀 BUILD FASTER WITH A PRODUCTION-READY FASTAPI TEMPLATE If you want a clean, scalable starting point for real FastAPI applications, check out FastLaunchAPI - a premium template that removes setup friction and lets you start building immediately. 👉 https://fastlaunchapi.dev 📌 WHAT YOU'LL LEARN • Elasticsearch fundamentals (inverted index, mappings, analyzers) • FastAPI application structure with routers and Pydantic schemas • CRUD operations with Elasticsearch 8.x • Advanced search: multi-match queries, filters, and fuzzy matching • Docker Compose for local development 📌 HASHTAGS #FastAPI #Elasticsearch #Python #FullTextSearch #BackendDevelopment #APIs #Programming #Docker