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Pinecone Nexus Demo: How Pinecone Nexus Gives AI Agents Knowledge

Pinecone6 August 2026Watch on YouTube

Part of series

Ep. 4 · Pinecone Nexus Kennislaag

Pinecone introduceert Nexus als een gestructureerde kennismotor die enterprise-data toegankelijk maakt voor AI-agenten.

View the series

What you'll learn

  • Pinecone Nexus transforms enterprise data into a structured, queryable knowledge layer that enables AI agents to deliver more accurate and faster answers
  • Instead of repeatedly retrieving raw documents at query time, Nexus compiles knowledge once for more efficient RAG pipelines
  • The Nexus workflow involves connecting data through Workspace, modeling knowledge domains with Context and Manifest, and running curation tasks in isolated Sandboxes
  • With KnowQL, AI agents can query structured knowledge directly and deliver grounded, typed, and cited answers with lower latency and token usage

Frequently asked questions

What is the main difference between Pinecone Nexus and traditional RAG pipelines?
Traditional RAG pipelines repeatedly retrieve raw documents at query time, while Nexus compiles knowledge once into a structured layer that agents can query directly. This reduces latency, lowers token usage, and improves accuracy.
How does the Nexus workflow work step by step?
The workflow starts by connecting enterprise data through Workspace, then you model knowledge domains using Context and Manifest, run curation tasks in isolated Sandboxes, and compile raw documents into structured knowledge that agents can query.
What is KnowQL and how does it help AI agents?
KnowQL is the query language that enables AI agents to query the structured knowledge layer directly. It allows agents to deliver grounded, typed, and cited answers.
What benefits does Nexus offer for enterprises with large amounts of data?
Nexus transforms large volumes of enterprise data into an efficient, queryable knowledge layer enabling AI agents to deliver faster, more accurate, and lower-cost answers, such as in financial services with complete household financial records.

Topics

ai agentsretrieval augmented generationknowledge enginesenterprise aivector databases

Description from the channel

Discover Pinecone Nexus, the knowledge engine built for AI agents. Learn More at https://www.pinecone.io/product/nexus/ In this live product demo, Jasmeet Gujral, Principal Product Manager at Pinecone, demonstrates how Nexus transforms enterprise data into a structured, queryable knowledge layer that enables AI agents to deliver more accurate, faster, and lower-cost answers. Using a financial services corpus containing a household's complete financial records—including goals, financial plans, advisor meeting notes, portfolio documents, and more—Jasmeet walks through the complete Nexus workflow. In this demo you'll learn: • Connecting enterprise data through a Workspace • Creating a Context and Manifest to model your knowledge domain • Running curation Tasks inside isolated Sandboxes • Compiling raw documents into structured knowledge • Querying the knowledge layer using KnowQL • Building AI agents that return grounded, typed, and cited answers Unlike traditional RAG pipelines that repeatedly retrieve raw documents at query time, Pinecone Nexus compiles knowledge once and allows agents to query structured knowledge directly through KnowQL. This reduces latency, lowers token usage, improves accuracy, and provides grounded responses with citations. #PineconeNexus #PineconeDemo #KnowQL #AIAgents #KnowledgeEngine #AgenticAI #EnterpriseAI #ContextEngineering #AIInfrastructure #RAG #AgenticRAG #VectorDatabase #Pinecone #EnterpriseSearch #AISearch #LLM #GenerativeAI #Workspace #Context #Manifest #Sandbox #FinancialServicesAI #AIKnowledgeLayer #KnowledgeGraph #EnterpriseKnowledge #AIDemo #RetrievalAugmentedGeneration #AIApplications #AutonomousAgents #AIArchitecture #AIEngineering #PineconeKnowQL #AIDataPlatform #ContextLayer #EnterpriseData #AIRetrieval #AIDeveloper #AIInfrastructureDem