Improve the accuracy of your AI apps and Agents

Turn your data into reliable LLM outputs with our AI memory engine
Backed by
42 Cap VC logo
Angel Invest VC logo
Combination VC logo

Improve LLM accuracy

If you have a large language model (LLM) as part of your AI infrastructure, you probably know that the info you get out of it is only as good at the info you put in.
Sometimes you get results that don't make sense, and that's because it only understands how words relate to each other, not what they actually mean.

That's where Cognee's AI memory engine comes in.
Acting like a brain, it uses advanced machine learning techniques to mimic the way humans perceive, process, and apply data, consolidating the info it's been given into 'memories'.

These memories give your LLM applications a better understanding of your data so you get more reliable responses to your prompts and queries.
Delicious data
Structured and unstructured data
Upload your data sources. Any type of data works; unstructured text or raw media files, PDFs, tables, and many more.
Kafka logoSnowflake logoPostgres logoBigQuery logoSqlite logoSap Hana logo
Working working...
Cognee processing
Cognee does it's stuff. It takes your data and maps out a knowledge graph. It determines relevant memory types per query and finds hidden connections in your data.
Weaviate logoNeo4j logoQdrant logoFalkorDB logoNetworkX logoLanceDB logo
LLM success
LLM output
Using your data, Cognee establishes graph topography and connects knowledge clusters. The result? LLM agents understand your data and you get more reliable responses.
OpenAI logoLlamaIndex logoLangChain logo
Improve responses from LLM applications
Cognee code example
Text generation
Content summaries
Customer analysis
Chatbot responses
Code generation
Translations
Cognee code example

Why choose Cognee

1
Info you didn't know existedCognee connects data points to uncover previously hidden links. You get to find out info you never knew and your LLM output will be much more useful to you.
2
Improves your LLM outputsCognee works with your data to improve the responses of your LLM agents.
3
A tool that grows with youCognee can handle increasing amounts of data and user demands with no loss of performance so your business runs like clockwork as your grow.
4
Works with your existing tech stackOur tool integrates with your existing infrastructure and tools. We support over 28 standard ingestion sources and counting.
5
Money = saved!With Cognee, you don't need to use expensive OpenAI APIs because we've created a data store for you. So you get a much better AI system that's cost effective too!
6
Up and running ridiculously quicklyWe provide developers with the right abstractions so they can start building straight away.
1
Info you didn't know existedCognee connects data points to uncover previously hidden links. You get to find out info you never knew and your LLM output will be much more useful to you.
3
A tool that grows with youCognee can handle increasing amounts of data and user demands with no loss of performance so your business runs like clockwork as your grow.
5
Money = saved!With Cognee, you don't need to use expensive OpenAI APIs because we've created a data store for you. So you get a much better AI system that's cost effective too!
2
Improves your LLM outputsCognee works with your data to improve the responses of your LLM agents.
4
Works with your existing tech stackOur tool integrates with your existing infrastructure and tools. We support over 28 standard ingestion sources and counting.
6
Up and running ridiculously quicklyWe provide developers with the right abstractions so they can start building straight away.

Success case

Dynamo logo
16%75%
Increased answer relevancy with more support agents using the tool.
Helping Dynamo increase customer engagement
ProblemDynamo helps gaming companies interact with their user base. Agents communicate via messenger to offer bonuses and encourage participation in tournaments and other games. The company needed a personalization layer to enable agents to interact optimally with users, providing specific suggestions based on purchase activity, recent events, and more.
SolutionWe designed and built a naive recommender system using LLMs to suggest optimal responses. This required a feature store containing relevant user-level information and data enriched with LLM-structured outputs. This data was then fed to Cognee to support agents with personalized messages and real-time analytics.

Full control over your data

Cognee is deployed on your own systems so you have complete control over your data. Meaning less chance of external breaches and full regulatory compliance.
Affordable and transparent pricingCompare our pricing plans.
BasicFree
Cognee tasks and pipelines
Custom schema and ontology generation
Integrated evaluations
More than 28 data sources supported
Platform Subscription€1970 a monthEverything in the free plan, plus...
License to use Cognee open source and Cognee Platform
1 day SLA
Hands-on support
Architecture review
Roadmap prioritization
Knowledge transfer
Platform Subscription€8.501m input tokensEverything in the free plan, plus...
License to use Cognee open source and Cognee Platform
1 day SLA
Hands-on support
Architecture review
Roadmap prioritisation
Knowledge transfer
Give us a star!

You're in good company

Here's what folks have been saying about Cognee.
Noam Yasour
Noam Yasour
CEO at Keepi
With Cognee, we could offer Keepi's user base save and retrieve knowledge capabilities without needing to fine tune or mess with our vector database setup. It was just plug and play. We saw an improvement in accuracy and speed of retrievals.
Marko Lazić
Marko Lazić
CEO at Luccid
Guys helped me to build a custom knowledge base of building codes and regulations that I just had to upload and it all worked. I could easily query the knowledge and update it with new regulations. This has significantly streamlined my workflow and decision-making process.
Orr Kowarsky
Orr Kowarsky
CEO at Dynamo
Cognee helped us enrich the data for thousands of our customers and provide them with personalized support better suited to their needs. The cognee team built and deployed the entire solution within a month.

From the blog

Improving LLM Accuracy: Graph-Based Retrieval and Chunking Methods
Improving LLM Accuracy: Graph-Based Retrieval and Chunking MethodsDiscover how integrating graph-based retrieval methods and advanced chunking techniques can enhance the relevance and precision of responses generated by Large Language Models (LLMs).Read more
Structured vs Unstructured Data - Types, Differences, Examples
Structured vs Unstructured Data - Types, Differences, ExamplesExplore the key differences between structured and unstructured data, their applications, and best practices. Learn more about data types in modern analytics.Read more
Big News: cognee raises €1.5 million to transform AI data management!
Big News: cognee raises €1.5 million to transform AI data management!We’re excited to announce that cognee has raised €1.5 million in funding! 🎉 This achievement isn’t just a financial boost - it’s a vote of confidence in our mission to make AI data management simpler,...Read more