Andrey Tagarev
AI & Knowledge Engineer at Graphwise
Andrey specializes in machine learning, ontologies, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents, with particular emphasis on building robust evaluation frameworks that ensure agent reliability, quality, and scalability.
Webinars, events and posts related to Andrey Tagarev
International Semantic Web Conference 2026
Graphwise supports ISWC 2026 in Bari, Italy, 25–29 October. Meet our delegation and connect with us on-site.
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Precise Semantic Retrieval: Implementing Chunk-level Vector Search with GraphDB and Elasticsearch
Read our technical guide to implementing chunk-level vector search using GraphDB & Elasticsearch
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Talk2PowerSystem: Democratizing Power System Analytics via Generative AI
Complex grid data is usually locked behind specialized analysts. Statnett and Graphwise present a natural language chatbot that lets anyone query intricate energy data with plain-language questions.
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From Retrieval to Reasoning: Enhancing HippoRAG with Graph-Based Semantics
Read about how an ontology-based knowledge graph boosts the multi-hop Q&A accuracy of one of the leading schemaless GraphRAG systems
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GraphRAG That Doesn’t Lie: Building Agents You Can Trust
LLM hallucinations make enterprises hesitant to deploy GenAI to production. In this session, we give a hands-on demo of how GraphRAG grounds AI agents in verifiable enterprise truth.
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Efficient Discovery of Identifiers with the Autocomplete Tool in Graphwise GraphDB
Read about why the new autocomplete-based tool for Internationalized Resource Identifiers discovery matters, when to use it, and how it works
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My Dear Watson, it is Great to Have Someone to Talk to
Learn how we empower users to sift through a large pool of data with the help of our Talk To Your Graph agent.
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