Question: I'm looking for an AI-powered search infrastructure that can understand user intent and provide personalized results.

For an AI-infused search foundation that can infer your intent and deliver results accordingly, Algolia is a top contender. It's got a full suite of tools for fast, scalable, easy-to-use search, and with options like AI search, dynamic re-ranking and AI synonyms, it can deliver a personalized search experience. It's good for a variety of industries and use cases, including enterprise search, headless commerce and voice search, and has flexible pricing.

Another strong contender is Ayfie, which has a mature Retrieval Augmented Generation (RAG) platform. Ayfie offers contextually relevant results and helps you understand data better with answers that are accurate. It can be integrated with existing systems and a broad range of data sources, offering real-time insights and flexible subscription options. The platform is highly customizable and ensures proper access control and security policies.

Exa takes a different approach to search with its use of embeddings and transformer-based models. It can process natural language search queries and retrieve page content in parallel, delivering results that are contextually relevant. Exa is particularly well-suited for use with Large Language Models (LLMs) and can crawl high-quality web pages for similarity searches. It has a range of pricing options, including a free tier, so it can be used in a variety of situations.

Vespa is another powerful option, a unified search engine and vector database that can handle vector search, lexical search and search of structured data. It lets developers build search applications at scale with features like fast vector search and machine-learned models. Vespa can combine different search types in one query, making it very flexible. It offers free usage to get started, making it a good option for developers.