Skip to content

Vector search consulting

For Expert vector search consulting support

Get in touch with us

Let's break ice

Consulting and support for vector search

Nextbrick offers vector search consulting and support as part of our search relevance consulting and support to assist in implementing semantic search on top of OpenSearch, Solr, or Elasticsearch.

Our extensive knowledge of each of these search engines is helpful when you want to adjust your configuration for both relevance and latency, as well as when you want to integrate lexical and semantic search. From constructing clusters and queries to producing high-quality embeddings to conducting relevance testing, we can assist.

Expert Services

To produce embeddings for the particular search domain, choose, construct, or adjust a model.

  • Select the right number of dimensions, query options, and quantization.
  • For both filtering and relevancy, combine lexical and semantic search.
  • Adjust the hardware profile, OS and JVM settings, index structure, and merging policy, among other things.
  • Create and manage a relevance testing tool for hybrid, lexical, and vector search queries.
  • troubleshooting, mentoring, and code reviews.

Consulting and support for Vector Search

For improved search experiences, consider vector search consulting and support and solutions.

Using Vector Search to Get Better Experiences

Vector search is emerging as a strong substitute for standard keyword search, which frequently fails to grasp the nuances of user intent and the intricacies of human language, in the rapidly evolving field of search technology. Both technical and business experts struggle with results that fall short, particularly when addressing long-tail inquiries, a diverse user base, and unavoidable mistakes. Search technology that can precisely negotiate this complexity and produce more relevant results are becoming more and more necessary as online engagement becomes more complicated and personalized.

Considerations for Vector Search

Even when the exact keywords are absent from the article, vector search technology still returns results that are pertinent to the user’s intent. Technically speaking, it accomplishes this by transforming queries and data (such as articles, documents, and products) into high-dimensional vectors that capture semantic meaning. While businesses gain from fewer manual adjustments and higher engagement, search consumers gain from more organic, conversational experiences. Vector search adoption is not without its difficulties, though, and success depends on thorough planning, exacting testing, and reliable deployment procedures. Among the crucial factors are:

Choosing a foundational model based on how well it fits the use case.

  • Adjusting for accuracy in your particular field.
  • Reranking, multi-stage retrieval, and scoring functions.
  • Evaluating and improving computational resources.
  • Model performance is tested and measured for your use scenarios.

Expert Consulting and support and support on Vector Search

You can better grasp what is feasible in this ever-changing environment with the aid of our vector search

consulting and support services. We assist in identifying the best use cases and technological solutions that produce observable business outcomes. To expedite your R&D efforts and reach your objectives more quickly, take use of our search domain experience in a variety of fields, such as eCommerce, omnichannel, medical research, healthcare, legal, music, knowledge bases, and many more. Join forces with us for:

  • Develop a plan and evaluate your existing search environment to find areas where vector search could be used.
  • design for a highly scalable solution that can handle both present and future volume demands.
  • choosing and optimizing a foundational model for your use cases and business area.
  • Integration services for incorporating vector search into search frameworks and systems, both new and old.

Hybrid search system implementation and evaluation.

Indexing, query execution, and infrastructure are optimized and scaled for maximum availability and performance.

comprehensive reporting and analysis of usage and search data.

~ Testimonials ~

Here’s what our customers have said.

Empowering Businesses with Exceptional Technology Consulting

~ Case Studies~

Vector search Case Studies

AI case studies 1

AI case studies 2

AI case studies 3

AI case studies 4

AI case studies 5

During Vector Search consulting we are asked the following questions:

  • Which technology should I pick?
  • Will conventional text search be replaced by this?
  • Can I include this into my current search engine?

Links for Vector Search

Vector Search with Elasticsearch: Powering Next-Generation Search Experiences

Vector Search and Pinecone: Powering Next-Generation AI Applications

Vector Search and MongoDB: Powering Next-Generation AI Applications

Qdrant: Powering Next-Generation Vector Search Applications

Vector Search: Google’s Powerful Solution for AI-Driven Applications

For AI, Search, Content Management & Data Engineering Services

Get in touch with us