Ollama, Deepseek, and Graphs
Explore the power and limitations of Ollama and Deepseek in creating LLM-based knowledge graphs. Cognee evaluated small vs. large models, tackled structured data output, and improved agent-ready data layers. Learn & try it yourself with cognee!Read more
Vector Databases: How They Work and Why They Matter
Discover how vector databases work and why they’re essential for AI, recommendation engines, and semantic search. Learn how they handle unstructured data and enable intelligent applications. Explore top tools and real-world use cases.Read more
Cognitive Architectures for Language Agents: Explained
Discover how advanced cognitive architectures enhance LLM memory systems and adaptive decision-making for human-like AI agents. Explore CoALA’s framework for context-aware, high-performing AI—transform your strategy.Read more
The Building Blocks of Knowledge Graphs: a Look at Cognee’s Approach
Learn what knowledge graphs are, how they structure data, and why they’re essential for AI. Explore their role in data storage, semantic search, and reasoning, plus real-world applications in AI and enterprise knowledge management.Read more
Model Context Protocol + Cognee: LLM Memory Made Simple
Unlock the power of cognee LLM memory with the Model Context Protocol. Learn how use cognee as a MCP tool to make your LLM apps accurate easily. Try it today!Read more
Cognee + LanceDB: Simplifying RAG for Developers
Discover how Cognee and LanceDB simplify Retrieval-Augmented Generation (RAG) workflows. Learn how graph-based semantics, dynamic vector search, and Apache Arrow-powered LanceDB streamline data handling, enhance automated testing, and scale AI applications effortlessly.Read more
Cognee + Graphiti: Integrating Temporal-Aware Graphs
Discover how cognee integrates with Graphiti to enable temporal-aware graphs. Learn about feature enrichment, graph transformation, and how to build custom, scalable solutions. Explore use cases, code snippets, and the benefits of unified workflows.Read more
Exploring AI Memory on the AI Engineering Podcast
Learn about differences between episodic and semantic memory systems, real-world use cases, challenges in scaling LLM memory, and more. Listen to the AI Engineering Podcast with Tobias Macey and explore how cognee revolutionizes AI memory.Read more
cognee & LlamaIndex: Building Powerful GraphRAG Pipelines
Learn how to build advanced GraphRAG pipelines with cognee and LlamaIndex, integrating structured and unstructured data into LLM workflows for accurate insights and seamless knowledge management.Read more
LLM Memory: Integration of Cognitive Architectures with AI
Discover how LLM memory systems function, from tuning to short- and long-term memory, for more accurate, context-aware AI solutions with cognee’s memory engine.Read more
Build a Knowledge Graph from a Python Repo: A Simple Guide
Build a Python repo knowledge graph with cognee to map dependencies and unlock better coding insights. Simplify AI integration for smarter development workflows.Read more
Fundraising in 2024
Discover how fundraising in 2024 in the AI infrastructure space looks like and how we went about securing 1.5m in fundingRead more
Memory Fragment Projection: Building a Personalized Knowledge Graph Layer with Cognee
Discover how to enable the creation of personalized knowledge graph layers through memory fragment projection, enhancing retrieval processes and supporting GraphRAG pipelines for more refined data exploration.Read more
Improving LLM Accuracy: Graph-Based Retrieval and Chunking Methods
Discover 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
Explore 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!
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, more cost-effective, and highly scalable for you. Read more
cognee - Case study with Dynamo.fyi
Instead of developing in isolation, we chose to collaborate with several design partners to build a solid foundation of practical examples of what works and what doesn’t. Recently, we worked with our design partner Dynamo.fyi on one of the first production deployments of Cognee. We’ll summarize the results of this project in the following sections.Read more
Going beyond Langchain + Weaviate: Level 4 towards production
In our quest for a robust RAG model, we delve into memory architecture and integrate with keepi.ai. Using human-inspired cognitive processes, we optimize data management with a focus on graph databases.Read more
Going beyond Langchain + Weaviate: Level 3 towards production
Enhancing RAG applications involves testing adjustable parameters like document quantity and chunk size. Challenges include reliably linking memories and organizing memory elements for human-like understanding. We need to ensure robust AI development.Read more
Going beyond Langchain + Weaviate: Level 2 towards Production
At Level 2, our AI script advances with Memory Layer, FastAPI, Langchain, and Weaviate. Our Proof of Concept (POC) enables PDF upload and specific actions like translation. Attention modulators help data retrieval, mirroring cognitive science principles.Read more
Going beyond Langchain + Weaviate and towards a production ready modern data platform
In 2023, 7,000 new AI projects emerged, driven by model advancements and community collaboration. Despite this, many applications are rudimentary, prompting the need for a unified Large Language Model (LLM) platform.Read more