Read our technical guide to implementing chunk-level vector search using GraphDB & Elasticsearch
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Andrey Tagarev
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.
Event
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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Blog Post
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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Event
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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Blog Post
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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Blog Post
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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