# Get started

::::card-grid
:::card{title="Pinecone Nexus" href="/guides/get-started-nexus-overview"}
Pinecone Nexus is the knowledge engine for agents. It compiles your data into queryable knowledge once, then serves grounded, cited answers to agents on every call.
:::

:::card{title="Nexus quickstart" href="/guides/get-started-nexus-quickstart"}
Deploy Pinecone Nexus with BYOC, curate a context from your own documents, and run KnowQL queries that return grounded, cited multi-document answers.
:::

:::card{title="Nexus key concepts" href="/guides/get-started-nexus-concepts"}
Learn the core Pinecone Nexus concepts: sources, workspaces, contexts, manifests, artifacts, tasks, sessions, and queries, and how they connect.
:::

:::card{title="Pinecone Assistant" href="/guides/get-started-assistant-overview"}
Overview of Pinecone Assistant, a managed service for building production-grade RAG chat and agent applications grounded in your data.
:::

:::card{title="Pinecone documentation" href="/guides/get-started-overview"}
Pinecone is the vector database for AI agents and applications, built for semantic search, knowledge retrieval, and long-term memory at scale.
:::

:::card{title="Pinecone Assistant pricing and limits" href="/guides/get-started-assistant-pricing-and-limits"}
Understand Pinecone Assistant pricing for ingestion units, chat tokens, and storage, plus plan-based service limits for file uploads and knowledge size.
:::

:::card{title="Monitor assistants" href="/guides/get-started-assistant-monitor-assistants"}
Track Pinecone Assistant performance in the console with time-series metrics for requests, error counts, chat and context latency, and file processing.
:::

:::card{title="Create and load private datasets" href="/guides/get-started-data-create-and-load-private-datasets"}
Create custom Pinecone datasets with the pinecone-datasets library, define metadata schema, and upload to your own S3, GCS, or local storage bucket.
:::

:::card{title="Use public Pinecone datasets" href="/guides/get-started-data-use-public-pinecone-datasets"}
Browse Pinecone's catalog of public benchmark datasets like ANN, MSMARCO, and Quora, then load and upsert them with the pinecone-datasets Python library.
:::

:::card{title="Use sample datasets" href="/guides/get-started-data-use-sample-datasets"}
Load a pre-built movies sample dataset from the Pinecone console to quickly test indexing, similarity search, and quickstart workflows without uploading your own data.
:::
::::

## Related pages

- [Account management](./account-management-index.md)
- [Admin](./admin-2-index.md)
- [Admin](./admin-index.md)
- [APIs](./apis-index.md)
- [Architecture](./architecture-index.md)
- [Assistants](./assistants-index.md)
- [Bring Your Own Cloud](./bring-your-own-cloud-index.md)
- [Build an assistant](./build-an-assistant-index.md)
- [Build an integration](./build-an-integration-index.md)
- [Changelog](./changelog-index.md)

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