Question: I need a search function that can understand natural language and provide relevant results, do you know of any solutions?

If you're looking for a search engine that can understand natural language and return useful results, Exa is a top contender. It employs cutting-edge embeddings and transformer-based models to process search queries and return results that are contextually relevant. The service is particularly well-suited for use with Large Language Models, ensuring authoritative web content and avoiding hallucinations. Exa also offers a variety of pricing options, including a free tier with limited results and queries, so it can be used for a range of needs.

Another powerful option is Ayfie, an enterprise search and integration platform with a lot of sophistication. Its Retrieval Augmented Generation (RAG) service offers contextually relevant results while also providing deeper understanding of data through accurate answers. Ayfie also helps automate workflows with real-time insights so you can make better decisions. It can be integrated with a wide variety of data sources, and it has strong security and access controls, so it's a good fit for enterprise needs.

Trieve is also worth considering for its ability to build full-stack search, recommendations and RAG experiences. It marries language models with fine-tuning ranking and relevance tools, and it supports advanced search capabilities like semantic search and hybrid search. Trieve is very flexible, letting customers bring their own embedding models or use open-source defaults, and it offers a variety of pricing tiers for different needs.

If you want an open-source option, Meilisearch is a good choice. It offers fast, relevant search results and supports a variety of integrations, including filters and language detection. Meilisearch is highly customizable, with flexible pricing and strong security. It's designed for use in websites and apps, so it's a good choice if you want to give users a fast and useful search experience.