LanceDB
LanceDB 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.
Y Combinator
yc-company-directory #4957LanceDB 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.
sourceLanceDB is classified as AI infrastructure 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 LanceDB
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.
Lantern
match 69Lantern 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: vector, database, search, single; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
NNext Co.
match 62NNext 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.
shared extracted concept terms: vector, search; shared product terms: vector, database, search, application; shared product theme: developer infrastructure, open source and local first
Phind
match 58Phind is an AI search engine. It uses multi-step reasoning to find the best answer for your question and generative UI to present it in the most beautiful and interactive way.
shared extracted concept terms: generative, search, engine; shared product terms: search, generative, engine; same category: AI infrastructure; shared affiliation: Y Combinator
Cheers
match 55AI assistants are replacing search for local businesses. When someone asks ChatGPT for a plumber or hotel recommendations, reviews are the primary training signal, especially in local markets where other data is sparse. This is GEO (Generative Engine Optimization). Cheers is the full-stack GEO platform for local service businesses. We audit AI visibility, build optimization plans (schema markup, citation fixes, review strategy), and give frontline teams NFC tools to generate reviews with employe
shared extracted concept terms: generative, engine, search; shared product terms: search, generative, engine; shared affiliation: Y Combinator
Shoutfit
match 45We tried to build a social network around clothing. Also briefly built a search engine for clothing.
shared extracted concept terms: search, engine; shared product terms: search, around, engine; shared affiliation: Y Combinator
KugelAudio
match 40Kugel is an enterprise-ready TTS model, available on-prem, with a focus on 30+ languages and low latency.
shared extracted concept terms: low, latency; shared product terms: low, latency; same category: AI infrastructure; shared affiliation: Y Combinator