Actively hiring
Databases & DBMS
Vector Search & RAG
As featured in
Follow
Overview
News
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Total raised
$15M
1 round on record
Latest round
$15M
Venture round · Oct 2022 · 3 yr ago
The money's age
Long since its last round
47 months since the last round · not hiring
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 10, 2022
Raised a round Venture round $15M · TechCrunch
Tractionpublic signals, read monthly
Web presence
top 24%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Oct 2022 | $15M | — | TechCrunch |
Similar startupsby what they do, their industry and backers

Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with…

Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

Zilliz is the company behind Milvus, the open-source vector database, and Zilliz Cloud, a fully managed vector database for building AI and…

RegattaDB is the distributed database for AI agents, unifying OLTP, OLAP, and vector search in a single engine with serializable…

Chroma is a San Francisco company founded in 2022 that maintains one of the most widely used open-source embedding databases. Its library…

Build smarter, faster search with Ducky. Fully managed AI retrieval and RAG infrastructure designed for developers who demand blazing-fast…
News
Meilisearch vs Manticore: Setting the Record Straight
Meilisearch published a comparison of Meilisearch and Manticore Search. We tested the claims against the latest versions of both engines - here
Read more
Report
The Good, the Bad, and the Leaky: jemalloc, bumpalo, and mimalloc in meilisearch
How I dove into a spooky memory leak, found it, but discovered that the actual leak was more on mimalloc
Read more
Report
From trees to graphs: speeding up vector search 10x with Hannoy
This is a walkthrough of a new LMDB-based HNSW Rust vector store with drastically better performances than the previous random-projection-based one. This is a disk-based HNSW highly vector store inspired by the DiskANN technology and is now used by defaul
Read more
Report
What is full-text search and how does it work?
See what full-text search is, the benefits, the different types, and many use cases. Discover how these search engines actually work.
Read more
Report
How to Add Blazing Fast Search to Your Django Site with Meilisearch
Step-by-step guide to integrating Meilisearch with Django, complete with automatic indexing, typo tolerance, and relevant filtering capabilities.
Read more
Report
Building the future of search with Meilisearch AI
Meilisearch AI is revolutionizing search with plug-and-play simplicity, helping developers deliver better results with less infrastructure overhead
Read more
Report
Meilisearch vs Qdrant: Tradeoffs, Strengths and Weaknesses
This is an analysis of the weaknesses of Qdrant and its RocksDB-based HNSW compared to Meilisearch. Meilisearch shows impressive results on highly filtered datasets when Qdrant struggles with relevancy and search time.
Read more
Report
Show more news
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Paris
France
Registered seat
Financials
Total raised
$15M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2022 | $15M | Details |
