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Getting Started
  • Introduction
  • Installation
  • Quickstart
Core Concepts
  • Overview
  • Architecture
  • Building Blocks
  • Main Operations
  • Further Concepts
Examples
  • Use Cases
CLI
  • CLI Overview
Python SDK
  • Getting Started
  • Features
    • Overview
    • Multi-tenant Architecture
    • Cloud Storage
    • Async Memory
    • Custom Prompts
    • REST API Server
    • Self-improving Memory
    • Time Awareness
    • Ontology Support
  • Graph Stores
  • Vector Stores
  • LLMs
  • Structured Output Frameworks
  • Embedding Providers
  • Configurations
  • Advanced
UI
  • Cognee UI
  • Graph Visualization
  • GitHub
  • Discord
Cognee Documentation home pagelight logodark logo
  • GitHub
  • Discord
Documentation
Cogwit
Deploy
Integrations
MCP
API Reference
Advanced
Documentation
Cogwit
Deploy
Integrations
MCP
API Reference
Advanced
Features

Custom Prompts

Customize LLM prompts in Cognee for better entity extraction, relationship detection, and knowledge graph generation

Custom prompts in Cognee let you tailor the AI’s behavior to your specific domain, improving the quality and relevance of extracted knowledge graphs.

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COMING SOON

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Next Steps

Custom Tasks

Task CustomizationLearn how to create custom processing tasks that use your prompts.

LLMs Overview

LLM IntegrationUnderstand how custom prompts work with different language models.

Evaluation Framework

Prompt EvaluationSet up systematic evaluation of your custom prompts.

Configuration

Advanced SetupConfigure advanced prompt management and optimization settings.
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REST API ServerDeploy Cognee as a REST API server for scalable, language-agnostic access to your knowledge graphs
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