- AI Developers: Build adaptive agents with memory beyond RAG.
- Data Engineers: Create knowledge graphs from diverse data sources.
- Product Teams: Personalize copilots for customer support.
- Researchers: Handle complex, multi-modal datasets accurately.
- Enterprises: Scale production AI with ontology mapping.
How to Use Cognee?
- Install SDK: Quickstart with pip install and config for LLMs/databases.
- Ingest Data: Load PDFs, audio, images via 38+ supported types.
- Build Graph: Auto-create ontologies, vectors for memory engine.
- Query Agents: Integrate with frameworks for reasoning/retrieval.
- Living Knowledge Graph: Self-improves with feedback and new data.
- Multi-Modal Ingestion: 38+ types including audio/images.
- Ontology Mapper: Adds semantic understanding to RAG.
- BYO Integrations: 29+ databases, multiple LLMs/frameworks.
- Production Proven: Used by Tier 1 banks, edtech with 100% accuracy gains.
- Replaces messy RAG with structured memory.
- Rapid POCs and production deployment.
- Flexible integrations for any stack.
- Real testimonials from CTOs/CEOs.
- Developer-focused; steeper for non-coders.
- Setup requires config for providers.
- SDK-based; no low-code UI yet.
- Enterprise scale may need support.
Basic
$ 0.00
Cognee tasks and pipelines
Custom schema and ontology generation
Integrated evaluations
More than 28 data sources supported
Developer
$ 35.00
1,000 documents or 1 GB of data included
Everything in Free, plus...
1 user
Fully hosted on AWS, GCP, and Azure
Comprehensive API endpoints
Automated scaling and parallel processing
Automatic updates
10,000 API calls included
Cloud(Team)
$ 200.00
Everything in Developer, plus...
10 users
Multi-tenant architecture
Ability to group memories per user and domain
Dedicated Slack channel
10,000 API calls included
Top-up packs available
On-Prem(Enterprise)
Custom
Everything in Cloud, plus...
On-prem or private cloud deployment
Security, data isolation, and optimal latency
Dedicated architecture review
Premium Support Plan / SLA
Access to AI FDE Engineers
Roadmap prioritization
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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