Devesh JoshiCo-founder, product
Nine years building AI platforms serving 12,000+ engineers. LLM platforms, agentic systems (MCP), and multi-model safety evaluation.
Moving beyond vector search: How GraphRAG connects complex business entities
Combining vector embeddings with Neo4j/Memgraph Knowledge Graphs to solve complex multi-hop entity queries that standard RAG fails to answer.
The limitation of naive vector similarity
Standard vector search retrieves text chunks based on semantic similarity, but struggles to synthesize relationships across disparate organizational documents. GraphRAG connects entities into a structured knowledge graph before LLM inference.
Topic Focus & Target Concepts
This is the work behind our AI and automation practice — agents with real grounding, voice intake, and retrieval that answers from your records rather than the model's training data.
Agents with real tool accessRunning into this in your own stack? Twenty minutes, no deck.
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