# Agentset

## Docs

- [Delete a document](https://docs.agentset.ai/api-reference/endpoint/documents/delete.md): Delete a document for the authenticated organization.
- [Retrieve a document](https://docs.agentset.ai/api-reference/endpoint/documents/get.md): Retrieve the info for a document.
- [Retrieve a list of documents](https://docs.agentset.ai/api-reference/endpoint/documents/list.md): Retrieve a paginated list of documents for the authenticated organization.
- [Delete hosting configuration](https://docs.agentset.ai/api-reference/endpoint/hosting/delete.md): Delete the hosting configuration for a namespace.
- [Enable hosting](https://docs.agentset.ai/api-reference/endpoint/hosting/enable.md): Enable hosting for a namespace.
- [Retrieve hosting configuration](https://docs.agentset.ai/api-reference/endpoint/hosting/get.md): Retrieve the hosting configuration for a namespace.
- [Update hosting configuration](https://docs.agentset.ai/api-reference/endpoint/hosting/update.md): Update the hosting configuration for a namespace. If there is no change, return it as it is.
- [Create an ingest job](https://docs.agentset.ai/api-reference/endpoint/ingest-jobs/create.md): Create an ingest job for the authenticated organization. You can control how documents are parsed and chunked using the optional `config` object (for example, chunk size, overlap, language, and advanced OCR/LLM options).
- [Delete an ingest job](https://docs.agentset.ai/api-reference/endpoint/ingest-jobs/delete.md): Delete an ingest job for the authenticated organization.
- [Retrieve an ingest job](https://docs.agentset.ai/api-reference/endpoint/ingest-jobs/get.md): Retrieve the info for an ingest job.
- [Retrieve a list of ingest jobs](https://docs.agentset.ai/api-reference/endpoint/ingest-jobs/list.md): Retrieve a paginated list of ingest jobs for the authenticated organization.
- [Re-ingest a job](https://docs.agentset.ai/api-reference/endpoint/ingest-jobs/re-ingest.md): Re-ingest a job for the authenticated organization.
- [Create a namespace.](https://docs.agentset.ai/api-reference/endpoint/namespaces/create.md): Create a namespace for the authenticated organization.
- [Delete a namespace.](https://docs.agentset.ai/api-reference/endpoint/namespaces/delete.md): Delete a namespace for the authenticated organization. This will delete all the data associated with the namespace.
- [Retrieve a namespace](https://docs.agentset.ai/api-reference/endpoint/namespaces/get.md): Retrieve the info for a namespace.
- [Retrieve a list of namespaces](https://docs.agentset.ai/api-reference/endpoint/namespaces/list.md): Retrieve a list of namespaces for the authenticated organization.
- [Update a namespace.](https://docs.agentset.ai/api-reference/endpoint/namespaces/update.md): Update a namespace for the authenticated organization. If there is no change, return it as it is.
- [Search a namespace](https://docs.agentset.ai/api-reference/endpoint/search.md): Complete retrieval pipeline for RAG with semantic search, filtering, and reranking
- [Create presigned URLs for batch file upload](https://docs.agentset.ai/api-reference/endpoint/uploads/batch.md): Generate presigned URLs for uploading multiple files to the specified namespace.
- [Create presigned URL for file upload](https://docs.agentset.ai/api-reference/endpoint/uploads/single.md): Generate a presigned URL for uploading a single file to the specified namespace.
- [Errors](https://docs.agentset.ai/api-reference/errors.md): Troubleshoot problems with this comprehensive breakdown of all error codes.
- [Introduction](https://docs.agentset.ai/api-reference/introduction.md): Fundamental concepts of Agentset's API.
- [Pagination](https://docs.agentset.ai/api-reference/pagination.md): Learn how to paginate through resources in the API.
- [Rate limits](https://docs.agentset.ai/api-reference/rate-limits.md): Learn about Agentset's API rate limits.
- [API Keys](https://docs.agentset.ai/api-reference/tokens.md): Learn how API keys work on Agentset.
- [Changelog](https://docs.agentset.ai/changelog.md): Product updates and announcements
- [Chunking Settings](https://docs.agentset.ai/data-ingestion/chunking-settings.md): Configure how your documents are split into searchable chunks
- [Connectors](https://docs.agentset.ai/data-ingestion/connectors.md): Integrate with third-party services to sync documents
- [Metadata](https://docs.agentset.ai/data-ingestion/document-metadata.md): Add custom metadata to documents for filtering and citations
- [File Uploads](https://docs.agentset.ai/data-ingestion/file-uploads.md): Upload files to Agentset
- [Multimodal Input](https://docs.agentset.ai/data-ingestion/multimodal-input.md): Process images and video alongside text
- [Tabular Data](https://docs.agentset.ai/data-ingestion/tabular-data.md): Ingest spreadsheets, CSVs, and tables embedded in documents
- [Text Uploads](https://docs.agentset.ai/data-ingestion/text-uploads.md): Upload text directly to Agentset
- [Upload Status](https://docs.agentset.ai/data-ingestion/upload-status.md): Check the status of your document uploads
- [URLs and Crawling](https://docs.agentset.ai/data-ingestion/urls-and-crawling.md): Ingest web pages and crawl websites into Agentset
- [Introduction](https://docs.agentset.ai/get-started/introduction.md): RAG-as-a-service for developers building AI apps
- [Quickstart](https://docs.agentset.ai/get-started/quickstart.md): Get started with Agentset in minutes
- [SDKs](https://docs.agentset.ai/get-started/sdks.md): Open-source client libraries for the Agentset API
- [Why RAG-as-a-Service](https://docs.agentset.ai/get-started/why-rag-as-a-service.md): Prototypes take a week. Production takes months. RAG-as-a-service closes the gap.
- [License](https://docs.agentset.ai/open-source/license.md): Open source licensing for Agentset
- [Prerequisites](https://docs.agentset.ai/open-source/prerequisites.md): Required accounts and setup before self-hosting Agentset
- [Step 1: Local Setup](https://docs.agentset.ai/open-source/step-1-local-setup.md): Clone the repository and configure your local development environment
- [Step 10: Deploy to Vercel](https://docs.agentset.ai/open-source/step-10-deploy-vercel.md): Deploy your self-hosted Agentset instance to production
- [Step 2: Upstash](https://docs.agentset.ai/open-source/step-2-upstash.md): Configure Upstash Redis and QStash for queue management
- [Step 3: Trigger.dev](https://docs.agentset.ai/open-source/step-3-trigger.md): Configure Trigger.dev for workflow orchestration and background jobs
- [Step 4: Partitioner API](https://docs.agentset.ai/open-source/step-4-partitioner-api.md): Configure the document partitioning service
- [Step 5: Supabase](https://docs.agentset.ai/open-source/step-5-supabase.md): Configure PostgreSQL database for application data
- [Step 6: GitHub OAuth](https://docs.agentset.ai/open-source/step-6-github-oauth.md): Configure GitHub authentication for user sign-in
- [Step 7: Google OAuth](https://docs.agentset.ai/open-source/step-7-google-oauth.md): Configure Google authentication for user sign-in
- [Step 8: Cloudflare R2](https://docs.agentset.ai/open-source/step-8-cloudflare-r2.md): Configure object storage for file uploads
- [Step 9: Resend (Optional)](https://docs.agentset.ai/open-source/step-9-resend.md): Configure email service for magic link authentication
- [Data Segregation](https://docs.agentset.ai/production/data-segregation.md): Keep your users' data separate in multi-tenant applications
- [Deployment Options](https://docs.agentset.ai/production/deployment-options.md): Choose between hosted, bring your own cloud, or on-premise deployment for your Agentset infrastructure
- [Hosting UI](https://docs.agentset.ai/production/hosting-ui.md): Test your RAG setup with a prebuilt, shareable interface
- [MCP Server](https://docs.agentset.ai/production/mcp-server.md): Documentation for the MCP Server Protocol
- [Observability](https://docs.agentset.ai/production/observability.md): Trace and monitor your RAG pipeline
- [Agentic RAG with AI SDK](https://docs.agentset.ai/search-and-retrieval/ai-sdk-integration.md): Build intelligent chat applications with agentic RAG using Agentset and AI SDK
- [Citations](https://docs.agentset.ai/search-and-retrieval/citations.md): Include source citations in your RAG responses
- [Filtering](https://docs.agentset.ai/search-and-retrieval/filtering.md): Filter search results by document metadata
- [Ranking](https://docs.agentset.ai/search-and-retrieval/ranking.md): Customize how search results are ranked and scored
- [Search](https://docs.agentset.ai/search-and-retrieval/search.md): Search your documents with Agentset
- [Simple RAG](https://docs.agentset.ai/search-and-retrieval/simple-rag.md): Build retrieval-augmented generation with Agentset