If you're looking for a different Neum AI alternative, Pinecone is another good option. Pinecone is a vector database designed for querying and retrieval performance, with a serverless architecture that automatically scales. It also supports real-time indexing and hybrid search, with an average query latency of 51ms and high recall. Pinecone integrates with the big cloud providers and other data sources and models, so it's a good general-purpose option.
Another option is Airbyte, an open-source data integration service that's designed to move data efficiently from more than 300 sources to many destinations. It offers features like Extract Unstructured Data for vector store destinations, Automated Schema Evolution and strong security. Airbyte offers flexible deployment options and is good for both big and small-scale data integration jobs.
If you're more interested in Retrieval-Augmented Generation (RAG) systems, SciPhi offers a foundation for building, deploying and scaling RAG systems. It supports multiple file formats, dynamic scaling and deployment of more advanced methods like HyDE and RAG-Fusion. SciPhi is open-source, and it offers different pricing tiers for different needs and scale.
Last, Trieve offers a foundation for building search, recommendations and RAG experiences. It includes private managed embedding models, full-text neural search and hybrid search. Trieve offers merchandising relevance tuning and flexible hosting options, so it's good for advanced search use cases. It offers a free plan for noncommercial self-hosting and several paid plans for different needs.