Content Foundations

Understanding Graphlit's content model, tri-store architecture, and search capabilities.

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Core Concepts

Start Here:

• Content Type vs File Type - Understanding the hierarchy

• Content Metadata Structure - Auto-captured metadata by type

• Content Lifecycle States - Created, Enabled, Disabled, Archived

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Search & Retrieval

Search Types

• Vector Search Explained - Semantic similarity

• Keyword Search Explained - Full-text + BM25

• Hybrid Search Deep Dive - RRF algorithm (recommended)

Query Patterns

• Advanced Search with Filters - Complex multi-criteria queries

• Metadata Filtering Strategies - Entity + date + type filters

• Query Performance Patterns - Pagination, caching, optimization

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Type-Specific Metadata

• Email Metadata Queries - From/to, labels, threads

• Message Metadata Queries - Slack/Teams channels, mentions

• Document Metadata Queries - Page counts, authors, encryption

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CRUD Operations

Ingestion

• Ingest URI (Basic) - Simple URL ingestion

• Ingest URI with Workflow - With entity extraction

• Ingest Text - Plain text/markdown

• Ingest Event - Calendar events

• Ingest Encoded File - Base64 uploads

Querying

• Query with Filters - Advanced filtering

• Query Similar Content - Find similar documents

• Is Done Polling - Check processing status

Management

• Get Content Details - Full content retrieval

• Update Metadata - Modify properties

• Delete Content - Single deletion

• Batch Delete - Bulk removal

Publishing

• Publish Summary - Generate summaries

• Publish Audio - Text-to-speech

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Related Tutorials

• Quickstart: Your First Agent - Build a streaming agent in 7 minutes

• Context Engineering - Advanced retrieval patterns

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