Neuronify

Vector search (vector databases)

Finding the items whose embeddings are closest to a query’s embedding — the retrieval step behind semantic search and most RAG systems.

Hiring data as of November 4, 2026 · refreshed daily

companies naming it
8 of 47companies naming it
open roles naming it
20open roles naming it
of those based in NYC
8of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What Vector search means

Vector search retrieves items by similarity of meaning rather than by matching keywords. Content is converted to embeddings and indexed; a query is embedded the same way; the index returns the nearest neighbors. A vector database is a store built for that operation at scale — Pinecone, Weaviate, Qdrant, and pgvector are common choices, and Elasticsearch supports it alongside keyword search.

In practice the best results usually come from hybrid retrieval, which combines vector similarity with keyword matching and then reranks. Pure vector search misses exact identifiers such as part numbers and names, which is often exactly what enterprise users type.

Vector search in New York job posts

8 of the 47 New York AI companies we track name Vector search in at least one open role today, across 20 postings. 8 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 65% of the postings that name it are Engineering roles.

AlphaSense alone accounts for 9 of the 20 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.

How to read it

Shows up with RAG in the same postings and points to a product built on retrieval. If the posting also names a specific vector database, the choice has been made; if it names only the concept, you may be the one making it.

Go deeper: how retrieval and source-grounded answers work in practice, in the Neuronify AI Field Guide.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Vector search before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Companies naming Vector search, daily

Count of companies with at least one open role naming the term. We read between 46 and 47 companies a day over this period, so a move of one or two is noise.

07.5158Sep 20Nov 4Sep 20: 9 companiesSep 21: 9 companiesSep 22: 9 companiesSep 23: 9 companiesSep 24: 9 companiesSep 25: 9 companiesSep 26: 9 companiesSep 27: 9 companiesSep 28: 9 companiesSep 29: 9 companiesSep 30: 9 companiesOct 1: 9 companiesOct 2: 9 companiesOct 3: 9 companiesOct 4: 9 companiesOct 5: 9 companiesOct 6: 9 companiesOct 7: 9 companiesOct 8: 9 companiesOct 9: 9 companiesOct 10: 9 companiesOct 11: 9 companiesOct 12: 9 companiesOct 13: 9 companiesOct 14: 9 companiesOct 15: 9 companiesOct 16: 9 companiesOct 17: 9 companiesOct 18: 9 companiesOct 19: 9 companiesOct 20: 9 companiesOct 21: 9 companiesOct 22: 9 companiesOct 23: 9 companiesOct 24: 9 companiesOct 25: 9 companiesOct 26: 9 companiesOct 27: 9 companiesOct 28: 8 companiesOct 29: 8 companiesOct 30: 8 companiesOct 31: 8 companiesNov 1: 8 companiesNov 2: 8 companiesNov 3: 8 companiesNov 4: 8 companies
View as table
Datecompanies
2026-09-209
2026-09-219
2026-09-229
2026-09-239
2026-09-249
2026-09-259
2026-09-269
2026-09-279
2026-09-289
2026-09-299
2026-09-309
2026-10-019
2026-10-029
2026-10-039
2026-10-049
2026-10-059
2026-10-069
2026-10-079
2026-10-089
2026-10-099
2026-10-109
2026-10-119
2026-10-129
2026-10-139
2026-10-149
2026-10-159
2026-10-169
2026-10-179
2026-10-189
2026-10-199
2026-10-209
2026-10-219
2026-10-229
2026-10-239
2026-10-249
2026-10-259
2026-10-269
2026-10-279
2026-10-288
2026-10-298
2026-10-308
2026-10-318
2026-11-018
2026-11-028
2026-11-038
2026-11-048

Who names it

Open roles naming Vector search, by company.

  • AlphaSense9
  • EvolutionIQ3
  • Pinecone3
  • April1
  • Clay1
  • Headway1
  • Maven Clinic1
  • Patlytics1

Which roles

The same postings, by function and by seniority.

  • Engineering13
  • GTM6
  • Product1
  • Mid9
  • Staff/Principal6
  • Senior4
  • Manager1

Named alongside Vector search

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 8 companies pair the two.

Open roles naming Vector search

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

Vector search — common questions

What does Vector search mean in an AI job posting?

Finding the items whose embeddings are closest to a query’s embedding — the retrieval step behind semantic search and most RAG systems. Shows up with RAG in the same postings and points to a product built on retrieval. If the posting also names a specific vector database, the choice has been made; if it names only the concept, you may be the one making it.

How many New York AI companies are hiring for Vector search?

As of November 4, 2026, 8 of the 47 New York AI companies we track name Vector search in the description of at least one open role, across 20 postings (8 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Vector search pay in New York?

We do not publish a pay figure for Vector search yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside Vector search?

In the same postings, the terms most distinctively paired with Vector search are Embeddings, RAG, Prompt engineering, MLOps, Tool use. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.

Start a project briefJoin the expert network