NNext Co.
NNext is an open-source, vector search database tailored for ML apps that stores the useful intermediate outputs of ML applications not captured by current database solutions.
Techstars
techstars-portfolio #4463NNext is an open-source, vector search database tailored for ML apps that stores the useful intermediate outputs of ML applications not captured by current database solutions.
sourceNNext Co. is classified as Developer tools from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to NNext Co.
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
LanceDB
match 62LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.
shared extracted concept terms: vector, search; shared product terms: vector, database, search, application; shared product theme: developer infrastructure, open source and local first
Artemis Search
match 59Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is. This enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come from evaluating search results on how much they look like the search query.
shared extracted concept terms: vector, database, search; shared product terms: search, vector, database; shared product theme: developer infrastructure
Lantern
match 57Lantern is the easiest way to build AI applications using Postgres. We started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications. With Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already kno
shared extracted concept terms: vector, search; shared product terms: application, vector, search, database; shared product theme: developer infrastructure
Appbase
match 35A database service for streaming search and analytics queries
shared extracted concept terms: search; shared product terms: database, search; shared product theme: developer infrastructure; same category: Developer tools; shared affiliation: Techstars
Inconvo
match 34Inconvo is the open-source platform for building data agents on production data. With safe queries, permissions, and structured outputs. Use Inconvo to build and deploy data agents that query production databases and can be called directly from your application. You get safe query execution, permissions, stateful conversations, and observability out of the box.
shared product terms: output, database, application; shared product theme: developer infrastructure, open source and local first
Embeddable
match 27Trevor lets your whole team query and learn from your database data.
shared extracted concept terms: database; shared product terms: database; shared product theme: developer infrastructure; same category: Developer tools; shared affiliation: Techstars