Use Case Library

Comprehensive code examples for every Graphlit API operation - organized for maximum discoverability.

🚀 New to Graphlit?

Start with the basics first: Quickstart: Your First Agent

Can't find what you need? Open Ask Graphlit in the Developer Portal (or visit ask.graphlit.dev) - AI assistant that writes code for you

🎯 I Want To... (Find by Task)

Getting Content In

Ingest a PDF or Word doc - From any URL
Ingest text or notes - Plain text content
Connect Slack - Auto-sync messages
Connect Gmail - Auto-sync emails
Connect Google Drive - Auto-sync files
See all 30+ feeds →

Searching & Finding

Basic semantic search - Search by meaning
Search with filters - Filter by date, type, etc.
Hybrid search (best results) - Combines vector + keyword
Find similar content - "More like this"

AI Conversations

Basic Q&A chat - Ask questions about content
Streaming responses - Real-time UI with events
Get source citations - Answers with page numbers
Multi-turn conversations - Memory across turns
Tool calling - Let AI use tools

Extracting Knowledge

Extract entities from PDFs - People, companies, places
Extract from emails - Contacts and organizations
Extract from meetings - Attendees and topics
Query knowledge graph - Find entities
Find relationships - Who works where

Advanced

Configure processing (Workflows) - Customize extraction
Choose AI models (Specifications) - Pick the right LLM
Multi-tenant setup - Separate customer data

📚 Browse by API Entity (Advanced)

For developers who understand the Graphlit data model:

Content Foundations (27 guides)

Understanding content types, metadata, search, and the tri-store architecture.

Start here: Content Type vs File Type | Hybrid Search

Knowledge Graph (24 guides)

Extract entities, build knowledge graphs, and query relationships.

Data Source Feeds (31 guides)

Connect 25+ data sources: Slack, Gmail, GitHub, Google Drive, Jira, and more.

By Type: Messaging | Cloud Storage | Project Management | Social Media

Conversations & RAG (10 guides)

Build AI agents with streaming responses, multi-turn context, and entity-filtered RAG.

Workflows (6 guides)

Configure content processing pipelines with preparation and extraction stages.

Start here: Entity Extraction Workflow | Complex Multi-Stage

Specifications (6 guides)

Configure LLM models, embeddings, and custom specifications.

Popular: Custom Models | Embedding Configuration

Collections (4 guides)

Organize content into collections for scoped queries and management.

Start here: Create and Manage Collections

Alerts (2 guides)

Scheduled content publishing operations.

Note: Alerts are periodic publishing operations, not monitoring alerts.

Views (2 guides)

Organize and display content in customizable layouts.

Start here: Create Semantic Search View

Production Patterns (5 guides)

Cost optimization, monitoring, multi-tenant isolation, and production best practices.

Documentation Philosophy

Every use case includes:

TypeScript canonical examples with Python/C# adaptations
Complete, working code ready to copy-paste
Configuration options and variations
Developer hints and gotchas
Common issues & solutions
Production patterns from real applications

Quick Links

Getting Started: Quickstart: Your First Agent | Knowledge Graph Tutorial

Platform Concepts: Key Concepts | Semantic Memory

Sample Apps: GitHub Samples Repository

Total: 117 verified use case guides | Updated: January 2025 | All code verified against TypeScript SDK

Last updated 7 months ago