# Innovent Solutions: Search architecture, relevance engineering, and modernization for Elasticsearch, OpenSearch, Apache Solr, vector search, hybrid search, and AI retrieval\.

> Search architecture, relevance engineering, and modernization experts for Elasticsearch, OpenSearch, Apache Solr, hybrid search, and AI retrieval\.

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## Pages
- [Home](https://www.innoventsolutions.com/)
- [Elasticsearch](https://www.innoventsolutions.com/search-solutions/elasticsearch-consulting/)
- [OpenSearch](https://www.innoventsolutions.com/search-solutions/opensearch-consulting/)
- [Search Platform Modernization](https://www.innoventsolutions.com/search-solutions/search-platform-modernization/)
- [Search Relevance \& Optimization](https://www.innoventsolutions.com/search-solutions/search-relevance-optimization/)
- [Solr](https://www.innoventsolutions.com/search-solutions/solr-consulting/)
- [FindTuner](https://www.innoventsolutions.com/search-solutions/findtuner/)
- [Vector Search](https://www.innoventsolutions.com/search-solutions/vector-search-consulting/)

## Posts
- [Search as a Concierge Service](https://www.innoventsolutions.com/search-technology/llms-search-product-discovery/): Modern product discovery requires more than traditional search alone\. Learn how Large Language Models \(LLMs\) and BM25\-based search engines work together to understand shopper intent, improve search relevance, and deliver more effective ecommerce search experiences\.
- [Exploring Scene\-Oriented Retrieval with OpenSearch and Multimodal Search](https://www.innoventsolutions.com/search-technology/scene-oriented-retrieval-opensearch-multimodal-search/): Traditional search works well when users are looking for specific items\. But workflows centered around building cohesive environments, such as set design and scene construction, introduce a different kind of retrieval problem\. This article explores how OpenSearch, vector embeddings, and multimodal retrieval techniques were used to experiment with scene\-oriented discovery and cohesive item selection\.
- [OpenSearch Tips for Rapid Vector Search and Search Prototyping](https://www.innoventsolutions.com/search-technology/opensearch-vector-search-prototyping/): Building a search proof of concept requires a different mindset than building a production system\. This article shares practical OpenSearch tips for rapid prototyping, including vector embeddings, kNN search, hybrid search, indexing strategies, and UI considerations drawn from real\-world experimentation\.
- [Chatbots Aren't All Talk: How MCP Extends AI Capabilities](https://www.innoventsolutions.com/search-technology/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\.
- [Search Has a Control Problem](https://www.innoventsolutions.com/search-technology/search-governance-control-optimization/): Search governance adds structure, but it’s only part of the system\. As shopper behavior, product catalogs, and business priorities constantly change, search needs to go beyond decisioning and continuously adapt\. Governance, control, and optimization work together to keep results aligned with shopper behavior\.

## Optional
- [Sitemap index](https://www.innoventsolutions.com/sitemap_index.xml)