Meta tags:
description=Self-optimizing vector database. 51–82x faster than ChromaDB and LanceDB. 580K+ inserts/s with 100% recall. Open source, in-process, and affordable.;
author=EmergentDB Team;
keywords=vector database,vector search,similarity search,embedding database,in-process vector database,vector index,HNSW,IVF,nearest neighbor search,RAG,retrieval augmented generation,semantic search,AI infrastructure,machine learning database,high-performance vector search,open source vector database,self-optimizing vector database,EmergentDB;

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#vectors (14), emergentdb (12), chromadb (6), github (5), get (5), started (5), for (5), queries (5), unlimited (5), the (5), search (5), pricing (4), writes (4), faiss (4), faster (4), vector (4), insert (4), performance (3), agpl (3), free (3), self (3), managed (3), your (3), data (3), source (3), api (3), 100 (3), recall (3), database (3), blog (2), iso (2), soc (2), gdpr (2), hipaa (2), ready (2), log (2), sla (2), dedicated (2), billed (2), annually (2), month (2), view (2), bolt (2), engine (2), community (2), hosted (2), open (2), per (2), 100k (2), 3072d (2), 768d (2), scanned (2), 885m (2), batched (2), than (2), across (2), same (2), apples (2), ids (2), curl (2), post (2), com (2), tenant (2), sub (2), millisecond (2), that (2), latency (2), discovers (2), strategy (2), automatically (2), tuning (2), evolves (2), how (2), works (2), fastest (2), star, host, deploy, deserve, better, 27001, type, compliant, write, ahead, 10gb, index, reopens, microseconds, crash, safe, wal, asia, pacific, residency, built, regions, contact, instance, resources, scale, 500k, cloud, launch, most, popular, 580k, vec, speeds, are, only, proprietary, plans, bare, bones, oss, core, lite, support, forever, one, price, and, query, fees, flat, surprises, inner, product, top, apple, silicon, 10k, too, slow, full, methodology, openai, ada, 002, 1536d, gemini, nearly, billion, second, single, machine, mode, also, embeddings, measured, not, marketed, distances, latency_ms, count, terminal, three, endpoints, tested, 10m, all, dimensions, optimal, evolve, batch, via, rest, typescript, sdk, any, embedding, manual, configuration, just, results, doesn, tune, 11ms, stop, hyperparameters, with, itself, metadata, cache, qdkv, products,

Text of the page (random words):
emergentdb the fastest vector database emergentdb products e emergentdb vector database q qdkv metadata cache how it works performance pricing blog github log in get started open source self hosted agpl 3 0 the vector database that evolves itself stop tuning hyperparameters emergentdb discovers the fastest search strategy for your data automatically 28 faster with 100 recall get started free view on github 0 11ms batched latency 28 vs chromadb 885m s vectors scanned 100 recall how it works emergentdb doesn t tune it evolves no manual tuning no configuration just faster results 01 01 insert batch insert vectors via rest api or typescript sdk any embedding source 02 02 evolve emergentdb discovers the optimal search strategy for your data automatically 03 03 search sub millisecond latency 100 recall tested at 10m vectors across all dimensions get started three endpoints that s it terminal insert vectors curl x post api emergentdb com my tenant vectors insert d vectors 0 1 0 2 ids 0 count 1 search sub millisecond curl x post api emergentdb com my tenant vectors search d vector 0 1 0 2 k 10 ids 42 17 99 distances 0 05 0 12 0 15 latency_ms 0 11 performance measured not marketed same embeddings same queries apples to apples 18 28 faster than chromadb batched mode also 2 5 faster than faiss across 768d 3072d 885m s vectors scanned nearly a billion vectors per second on a single machine 768d gemini emergentdb 0 11 ms faiss 0 23 ms chromadb 1 97 ms 1536d ada 002 emergentdb 0 15 ms faiss 0 38 ms chromadb 3 89 ms 3072d openai lg emergentdb 0 28 ms faiss 0 66 ms chromadb 7 7 ms 100k vectors inner product top 10 apple silicon chromadb at 10k too slow for 100k full methodology pricing flat pricing no surprises one price unlimited queries and writes no per query fees community self hosted open source 0 forever unlimited vectors unlimited queries writes agpl 3 0 community support bolt lite engine bare bones oss core 580k vec s speeds are bolt only the proprietary engine on managed plans view on github most popular launch managed cloud 29 month 24 mo billed annually 500k vectors unlimited queries writes soc 2 gdpr 99 9 sla get started scale dedicated resources 79 month 66 mo billed annually 2 5m vectors unlimited queries writes dedicated instance hipaa ready 99 95 sla contact us 3 regions us eu asia pacific data residency built in wal crash safe write ahead log 10gb index reopens in microseconds iso compliant iso 27001 soc 2 type ii gdpr hipaa ready your vectors deserve better self host for free or deploy managed for 29 mo get started free star on github emergentdb agpl 3 0 github blog performance pricing