Recent Works
Go beyond keyword matching. Leverage embeddings, NLP models, and RAG patterns to deliver search experiences that truly understand user intent.
From text to embeddings to semantic results — in milliseconds.
Natural language question
Convert to vector space
kNN similarity search
Enterprise vector search and NLP solutions built on Elasticsearch.
Understand meaning, not just keywords. Deliver relevant results even when exact terms don't match.
Retrieval-Augmented Generation combining Elasticsearch with LLMs for accurate AI responses.
Deploy trained NLP models directly in Elasticsearch for inference at ingest time.
Optimized vector indices for sub-100ms queries across billions of documents.
Deploy, version, and A/B test embedding models within your Elastic cluster.
Design scalable vector search architectures for your specific use case and data volume.
Where AI-powered search delivers transformative results.
Customers find products by describing what they need, not memorizing product names.
Employees find answers instantly across thousands of internal documents.
AI-powered ticket routing and answer suggestion based on semantic similarity.
Find relevant case law and regulatory documents through natural language queries.
Semantic search across medical literature and clinical trial databases.
Match candidates to job descriptions using semantic understanding of skills and experience.
Let us implement vector search that understands your users and delivers results that matter.