Strategy, Architecture & Optimization for Modern Search Platforms

We design, modernize, and optimize search systems to improve relevance, performance, and scalability across enterprise, eCommerce, and AI-powered search.

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Search Architecture & Optimization Services

Architecture & Design

Design scalable search platforms for product discovery, enterprise search, and AI-powered search.

Relevance & Optimization

Deliver more relevant search experiences through improved ranking, result quality, and query understanding.

Modernization

Upgrade and modernize search systems to improve scale, performance, and long-term reliability in an evolving technology landscape.

AI & Hybrid Search

Design and implement vector and hybrid search systems that improve relevance and discovery.

Platform Expertise Across the Search Ecosystem

Innovent designs and optimizes distributed search architectures, addressing relevance, performance, and scalability challenges to ensure consistent and reliable search systems.

Elasticsearch

We design and optimize Elasticsearch for search, analytics, and observability workloads, covering cluster configuration, migration, performance tuning, and relevance optimization to deliver highly tuned, production-grade systems.

OpenSearch

We provide expert guidance for OpenSearch adoption and migration, including Elasticsearch-to-OpenSearch transitions, architecture design, performance tuning, and hybrid search implementation across cloud and hybrid environments.

Apache Solr

We design and optimize SolrCloud deployments for distributed indexing, performance tuning, and scalable search systems, ensuring reliable operation and strong relevance at scale.

Search Applications & Use Cases

eCommerce Search

Improve product discovery with more relevant results, better ranking, and guided search experiences that increase engagement and conversion.

Enterprise Search

Enable unified, relevant search across internal systems, documents, and knowledge platforms to improve information access and productivity.

Observability & Analytics

Design and optimize search platforms for log analysis, monitoring, and large-scale data exploration, enabling fast, intuitive access to operational and analytical data.

AI-Driven Applications

Build modern retrieval systems that support semantic search, LLM-powered experiences, and intelligent data access.

FindTuner Search & Discovery Optimization Platform

FindTuner works with Elasticsearch, OpenSearch, and Solr to enhance search performance through intelligence, insights, and control. It enables teams to understand search behavior, apply targeted optimizations, and continuously refine relevance and ranking as data, user behavior, and business strategies evolve.

Search Insights & Expertise

Chatbots Aren’t All Talk: How MCP Extends AI Capabilities

This article discusses how Model Context Protocol (MCP) expands AI chatbot capabilities with live data, actionable tools, and smarter workflows to improve customer interactions.

AI Is Too Expensive

The functionality of the modern blend of AI has some immensely powerful capabilities that offer a great deal of opportunity. LLMs also have some important flaws. Awareness of what AI is, what it’s capable of (and not capable of) is crucial to weighing opportunity cost of IT time. It’s simply too expensive to not be aware of what AI is.

A Tale of Java, LLMs, and Search

This article explores the challenges and solutions in integrating Java with large language models (LLMs) for search. It details building a proof-of-concept for leveraging popular LLMs like SBERT and OpenAI, using Python-based tools to bridge gaps in Java compatibility. Learn how vector databases, FastAPI, and Chroma enable powerful search functionalities.

Design and Optimize Your Search Platform

Work with our team to solve relevance, performance, and scalability challenges and design a search platform that performs at scale.

Talk To A Search Architect