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  3. Build search engines

Best AI Tools to Build search engines

Add full-text, hybrid, or application search capabilities to products and data.

Write codeReview codeBuild appsBuild AI appsAutomate software developmentTest websitesBuild RAG systemsCreate knowledge graphsAnalyze codebasesGenerate software documentationManage AI memoryConnect AI to appsEngineer promptsFine-tune AI modelsRun AI models locallyServe AI modelsManage AI modelsMonitor infrastructureManage databasesRun code in sandboxesManage API gatewaysOptimize AI contextRun distributed computing

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Search engine tools add fast full-text, semantic or hybrid search to websites, apps and internal data. They power site search, product search, documentation search and the retrieval step of AI assistants.

Choosing a search engine

Compare relevance on your content, typo tolerance, filters and facets, semantic and hybrid search, indexing speed, scaling, language support and hosting options. Test with real queries your users type.

Improving search results

Clean and structure your data, tune ranking rules, add synonyms and review searches with no results to find gaps.

FAQ

What is hybrid search?

Combining keyword and semantic vector search to get both exact matches and meaning-based results.

Can I add AI search to my website?

Yes. Search engines and AI platforms offer APIs and widgets for site search and question answering.

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