AI Search

Vespa documents an open-source AI search platform at docs.vespa.ai and vespa.ai for large-scale applications combining big data, vector search, machine-learned ranking, and real-time inference. Vespa supports hybrid retrieval in a single query via YQL operators such as nearestNeighbor, weakAnd, wand, and rank(), with phased ranking profiles combining BM25, closeness, and tensor features per docs.vespa.ai/en/learn/tutorials/hybrid-search and docs.vespa.ai/en/querying/nearest-neighbor-search-guide. Built-in embedder functionality can generate text embeddings inside Vespa (tutorials reference models like snowflake-arctic-embed-xs). Vespa positions itself for RAG first-stage retrieval, recommendations, and intelligent search with sub-100ms latencies at billions of documents. Deploy self-hosted or via Vespa Cloud.

Algolia documents a hosted search and discovery platform at algolia.com/doc for site, app, and e-commerce search with typo tolerance, faceting, filtering, personalization, and Recommend APIs. NeuralSearch (algolia.com/doc/guides/ai-relevance/neuralsearch/get-started) adds vector search to keyword retrieval, merges ranked lists, and blends results via presets such as default, conservative, expanded_reach, and append_only; teams configure it in the dashboard or via the semanticSearch/settings API without reindexing for most preset changes. Algolia also documents official MCP offerings—Public MCP for application-scoped index exposure and Productivity MCP at https://mcp.algolia.com/mcp for user-scoped search, Recommend, and analytics workflows. SDKs cover JavaScript, Python, PHP, Java, Go, Ruby, and .NET with REST API access.

Perplexity is an AI-powered search engine that provides direct answers with cited sources, launched in 2022. Unlike traditional search engines, Perplexity uses large language models to understand queries and generate comprehensive responses with inline citations. The Pro version ($20/month) includes access to GPT-4, Claude 3, and other models with real-time web browsing. Perplexity has gained significant user adoption as an alternative to Google for research-heavy queries.

Tavily is an AI search API designed for developers and AI applications, founded in 2023. Unlike consumer search tools, Tavily focuses on providing structured, relevant search results for AI agents and RAG (Retrieval Augmented Generation) systems. The API returns comprehensive answers with citations optimized for AI workflows. Tavily's semantic search understands query intent beyond keywords. Both free and paid tiers are available for developers integrating search into applications.

Glean is an enterprise AI search platform that indexes and searches across all applications, documents, and data sources within an organization. Unlike traditional search, Glean uses AI to understand intent and context, providing relevant answers from across the company's entire digital workspace. It serves as an intelligent workplace search solution for enterprises.

Exa is an AI-powered search engine designed specifically for developers and AI applications. Unlike traditional search engines, Exa provides semantic search capabilities using neural networks to understand intent and context. It offers both a web interface and API access for integrating AI search into applications.

You.com is an AI-powered search engine that combines traditional search results with conversational AI capabilities. The platform provides direct answers alongside traditional web results, and includes a built-in AI chat interface for follow-up questions. It positions itself as a privacy-focused alternative to mainstream search engines.

Haygrade is an AI-enhanced search engine designed for developers and technical professionals. It combines traditional search capabilities with AI summarization to provide more relevant results for technical queries. The platform is designed for developers who need accurate, up-to-date information from across the web.