Hande
@handexxk.bsky.social
cognee.ai | MSc. @TUM 🇩🇪| BSc. @BOUN 🇹🇷
OSS: https://github.com/topoteretes/cognee
Community: https://discord.gg/m63hxKsp4p
OSS: https://github.com/topoteretes/cognee
Community: https://discord.gg/m63hxKsp4p
Reposted by Hande
We’re days away from opening the cognee SaaS beta 🚀 where you’ll bring your knowledge graphs & LLM workflows to life without the infra pain.
🔍 Built for everyone who cares about clean data, speed, and reproducibility.
Want in on day 1? Join the waitlist →
dub.sh/beta-saas-co...
🔍 Built for everyone who cares about clean data, speed, and reproducibility.
Want in on day 1? Join the waitlist →
dub.sh/beta-saas-co...
Improve your AI infrastructure - AI memory engine
Cognee is an open source AI memory engine. Try it today to find hidden connections in your data and improve your AI infrastructure.
dub.sh
June 19, 2025 at 5:08 PM
We’re days away from opening the cognee SaaS beta 🚀 where you’ll bring your knowledge graphs & LLM workflows to life without the infra pain.
🔍 Built for everyone who cares about clean data, speed, and reproducibility.
Want in on day 1? Join the waitlist →
dub.sh/beta-saas-co...
🔍 Built for everyone who cares about clean data, speed, and reproducibility.
Want in on day 1? Join the waitlist →
dub.sh/beta-saas-co...
Reposted by Hande
⚡ Learn the BaseRetriever pattern
⚡ See real code snippets
⚡ Take the “Which Retriever Are You?” quiz
Read to get smarter answers? Let me know which retriever you are 🙂
dub.sh/cognee-retri...
⚡ See real code snippets
⚡ Take the “Which Retriever Are You?” quiz
Read to get smarter answers? Let me know which retriever you are 🙂
dub.sh/cognee-retri...
Cognee - Semantic Search & Knowledge Graph Retrieval Tactics | Cognee
Drive results with semantic search and knowledge graph retrieval; explore AI retrievers, vector databases, and GraphRAG to turn data into answers—read now!
dub.sh
June 18, 2025 at 3:43 PM
⚡ Learn the BaseRetriever pattern
⚡ See real code snippets
⚡ Take the “Which Retriever Are You?” quiz
Read to get smarter answers? Let me know which retriever you are 🙂
dub.sh/cognee-retri...
⚡ See real code snippets
⚡ Take the “Which Retriever Are You?” quiz
Read to get smarter answers? Let me know which retriever you are 🙂
dub.sh/cognee-retri...
Reposted by Hande
Tired of asking brilliant questions and getting “meh” answers from your LLM?
We just shipped “The Art of Intelligent Retrieval”—a deep dive into how Cognee layers semantic search, vector DBs & knowledge-graph magic across specialized retrievers (RAG, Cypher, CoT, more)
We just shipped “The Art of Intelligent Retrieval”—a deep dive into how Cognee layers semantic search, vector DBs & knowledge-graph magic across specialized retrievers (RAG, Cypher, CoT, more)
June 18, 2025 at 3:43 PM
Tired of asking brilliant questions and getting “meh” answers from your LLM?
We just shipped “The Art of Intelligent Retrieval”—a deep dive into how Cognee layers semantic search, vector DBs & knowledge-graph magic across specialized retrievers (RAG, Cypher, CoT, more)
We just shipped “The Art of Intelligent Retrieval”—a deep dive into how Cognee layers semantic search, vector DBs & knowledge-graph magic across specialized retrievers (RAG, Cypher, CoT, more)
Reposted by Hande
🚀 Skyrocketing！ 🚀 (200+ new stars)
📦 topoteretes / cognee
⭐ 4,853 (+414)
🗒 Python
Memory for AI Agents in 5 lines of code
📦 topoteretes / cognee
⭐ 4,853 (+414)
🗒 Python
Memory for AI Agents in 5 lines of code
GitHub - topoteretes/cognee: Memory for AI Agents in 5 lines of code
Memory for AI Agents in 5 lines of code. Contribute to topoteretes/cognee development by creating an account on GitHub.
github.com
June 9, 2025 at 9:02 PM
🚀 Skyrocketing！ 🚀 (200+ new stars)
📦 topoteretes / cognee
⭐ 4,853 (+414)
🗒 Python
Memory for AI Agents in 5 lines of code
📦 topoteretes / cognee
⭐ 4,853 (+414)
🗒 Python
Memory for AI Agents in 5 lines of code
Reposted by Hande
Reposted by Hande
Reposted by Hande
Yesterday, we released our paper, "Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning"
We have developed a new tool to enable AI memory optimization that considerably improve AI memory accuracy for AI Apps and Agents. Let’s dive into the details of our work 📚
We have developed a new tool to enable AI memory optimization that considerably improve AI memory accuracy for AI Apps and Agents. Let’s dive into the details of our work 📚
June 3, 2025 at 2:01 PM
Yesterday, we released our paper, "Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning"
We have developed a new tool to enable AI memory optimization that considerably improve AI memory accuracy for AI Apps and Agents. Let’s dive into the details of our work 📚
We have developed a new tool to enable AI memory optimization that considerably improve AI memory accuracy for AI Apps and Agents. Let’s dive into the details of our work 📚
Reposted by Hande
We're ramping up our r/AIMemory channel for broader discussions on AI Memory and to share in the conversation outside of cognee.
We'd love to see you share what you're working on, your thoughts and questions on AI memory, and any resources that would benefit the broader community.
We'd love to see you share what you're working on, your thoughts and questions on AI memory, and any resources that would benefit the broader community.
Join the conversation at r/AIMemory. dub.sh/ai-memory
May 30, 2025 at 2:36 PM
We're ramping up our r/AIMemory channel for broader discussions on AI Memory and to share in the conversation outside of cognee.
We'd love to see you share what you're working on, your thoughts and questions on AI memory, and any resources that would benefit the broader community.
We'd love to see you share what you're working on, your thoughts and questions on AI memory, and any resources that would benefit the broader community.
Reposted by Hande
Join the conversation at r/AIMemory. dub.sh/ai-memory
May 30, 2025 at 2:29 PM
Join the conversation at r/AIMemory. dub.sh/ai-memory
Reposted by Hande
We just dropped a follow-up to last week’s graph-DB explainer—this one dives into vector databases and why they’re the workhorse behind semantic search.
Quick recap:
Graph DB → “How are things connected?”
Vector DB → “What *feels* like this thing?”
🙂
Quick recap:
Graph DB → “How are things connected?”
Vector DB → “What *feels* like this thing?”
🙂
May 21, 2025 at 4:34 PM
We just dropped a follow-up to last week’s graph-DB explainer—this one dives into vector databases and why they’re the workhorse behind semantic search.
Quick recap:
Graph DB → “How are things connected?”
Vector DB → “What *feels* like this thing?”
🙂
Quick recap:
Graph DB → “How are things connected?”
Vector DB → “What *feels* like this thing?”
🙂
Reposted by Hande
and more…
Our latest post, “Graph Databases Explained,” walks through the trade-offs, query patterns, and performance internals in plain language.
If “deeply connected data” describes your next project, it might save you a few JOIN headaches.
Read here → www.cognee.ai/blog/fundame...
Our latest post, “Graph Databases Explained,” walks through the trade-offs, query patterns, and performance internals in plain language.
If “deeply connected data” describes your next project, it might save you a few JOIN headaches.
Read here → www.cognee.ai/blog/fundame...
Cognee - Graph Databases Explained: A Better Way to Represent Connections
Discover how graph databases like Neo4j build knowledge graphs, fight fraud & boost recommendations. Master nodes & edges with cognee and supercharge your data!
www.cognee.ai
May 15, 2025 at 1:54 PM
and more…
Our latest post, “Graph Databases Explained,” walks through the trade-offs, query patterns, and performance internals in plain language.
If “deeply connected data” describes your next project, it might save you a few JOIN headaches.
Read here → www.cognee.ai/blog/fundame...
Our latest post, “Graph Databases Explained,” walks through the trade-offs, query patterns, and performance internals in plain language.
If “deeply connected data” describes your next project, it might save you a few JOIN headaches.
Read here → www.cognee.ai/blog/fundame...
Reposted by Hande
Got featured in @neo4j.com ’s weekly wrap-up!
From the links below, you can find us chatting on GraphRAG + cognitive science (a small demo included)
+
fresh Neo4j news (Aura Analytics, NODES CFP, MCP hacks).
Don’t miss it out.
From the links below, you can find us chatting on GraphRAG + cognitive science (a small demo included)
+
fresh Neo4j news (Aura Analytics, NODES CFP, MCP hacks).
Don’t miss it out.
May 14, 2025 at 8:47 AM
Got featured in @neo4j.com ’s weekly wrap-up!
From the links below, you can find us chatting on GraphRAG + cognitive science (a small demo included)
+
fresh Neo4j news (Aura Analytics, NODES CFP, MCP hacks).
Don’t miss it out.
From the links below, you can find us chatting on GraphRAG + cognitive science (a small demo included)
+
fresh Neo4j news (Aura Analytics, NODES CFP, MCP hacks).
Don’t miss it out.
Great insights!
🧵 Insights from Data Council 2025, viewed through my lens:
May 12, 2025 at 7:39 AM
Great insights!
Reposted by Hande
Curious if small Ollama-hosted LLMs (e.g., Phi-4, Gemma-3) can reliably create knowledge graphs?
Our 3-minute video answers exactly that:
- small local model limitations
- tips (schema optimization, YAML/HTML requests)
- need for larger models (Llama3.3, 14B)
watch here: youtu.be/P2ZaSnnl7z0
Our 3-minute video answers exactly that:
- small local model limitations
- tips (schema optimization, YAML/HTML requests)
- need for larger models (Llama3.3, 14B)
watch here: youtu.be/P2ZaSnnl7z0
Compare Small Ollama Models in Generating Knowledge Graphs Using cognee
YouTube video by cognee
youtu.be
April 28, 2025 at 2:04 PM
Curious if small Ollama-hosted LLMs (e.g., Phi-4, Gemma-3) can reliably create knowledge graphs?
Our 3-minute video answers exactly that:
- small local model limitations
- tips (schema optimization, YAML/HTML requests)
- need for larger models (Llama3.3, 14B)
watch here: youtu.be/P2ZaSnnl7z0
Our 3-minute video answers exactly that:
- small local model limitations
- tips (schema optimization, YAML/HTML requests)
- need for larger models (Llama3.3, 14B)
watch here: youtu.be/P2ZaSnnl7z0
Reposted by Hande
We benchmarked cognee, Mem0 and Zep/Graphiti using HotPotQA! Cognee topped the charts, boosted further by Dreamify, our optimized pipeline 🚀. Graphiti shared their scores with us and we'll verify them soon!
Dive in the details 👇🏼
Dive in the details 👇🏼
April 15, 2025 at 11:41 AM
We benchmarked cognee, Mem0 and Zep/Graphiti using HotPotQA! Cognee topped the charts, boosted further by Dreamify, our optimized pipeline 🚀. Graphiti shared their scores with us and we'll verify them soon!
Dive in the details 👇🏼
Dive in the details 👇🏼
I‘ll be there! 👩🏻💻
Run with us and join the one-day hands-on coding session as a contributor 🏃🏻♀️🏃🏃♂️💨
We look forward to seeing you at the start line!
Run with us and join the one-day hands-on coding session as a contributor 🏃🏻♀️🏃🏃♂️💨
We look forward to seeing you at the start line!
Join us at @pyconde.bsky.social in Darmstadt - this is your opportunity to dive into open-source, network with passionate devs, and shape the future of AI and Python ecosystems!
We are sprinting with @cognee.bsky.social alongside 9 other awesome open-source projects.
We are sprinting with @cognee.bsky.social alongside 9 other awesome open-source projects.
April 14, 2025 at 10:18 AM
I‘ll be there! 👩🏻💻
Run with us and join the one-day hands-on coding session as a contributor 🏃🏻♀️🏃🏃♂️💨
We look forward to seeing you at the start line!
Run with us and join the one-day hands-on coding session as a contributor 🏃🏻♀️🏃🏃♂️💨
We look forward to seeing you at the start line!
Reposted by Hande
And today, we’re proudly sharing all these improvements with the Product Hunt community before many more to come!
Check out cognee’s latest iteration, share your thoughts, and see how easy it is to integrate semantic memory into your AI stack!
producthunt.com/posts/cognee
Check out cognee’s latest iteration, share your thoughts, and see how easy it is to integrate semantic memory into your AI stack!
producthunt.com/posts/cognee
cognee - Memory for AI Agents in 5 lines of code | Product Hunt
cognee is an open-source semantic memory layer for AI agents, built on vector and graph databases. It constructs knowledge graphs from retrieved data, enabling AI apps and agents to deliver accurate, ...
producthunt.com
April 11, 2025 at 7:30 AM
And today, we’re proudly sharing all these improvements with the Product Hunt community before many more to come!
Check out cognee’s latest iteration, share your thoughts, and see how easy it is to integrate semantic memory into your AI stack!
producthunt.com/posts/cognee
Check out cognee’s latest iteration, share your thoughts, and see how easy it is to integrate semantic memory into your AI stack!
producthunt.com/posts/cognee
Reposted by Hande
TLDR; we launched on ProductHunt!
After months packed with community-driven features our AI memory tool @cognee.bsky.social has evolved to new heights. Finally AI agents meet the memory they deserve - structured, accurate, and reliable - in 5 lines of code.
After months packed with community-driven features our AI memory tool @cognee.bsky.social has evolved to new heights. Finally AI agents meet the memory they deserve - structured, accurate, and reliable - in 5 lines of code.
April 11, 2025 at 7:30 AM
TLDR; we launched on ProductHunt!
After months packed with community-driven features our AI memory tool @cognee.bsky.social has evolved to new heights. Finally AI agents meet the memory they deserve - structured, accurate, and reliable - in 5 lines of code.
After months packed with community-driven features our AI memory tool @cognee.bsky.social has evolved to new heights. Finally AI agents meet the memory they deserve - structured, accurate, and reliable - in 5 lines of code.
Reposted by Hande
Exciting news friends!
Our latest @cognee.bsky.social update is live, featuring:
• Ontology support
• Direct relational DB imports
• Dreamify, our shiny new hyperparameter tuning system
• Big performance boosts
Plus, Pinki our dog has finally conquered the indoor puke challenge.
Our latest @cognee.bsky.social update is live, featuring:
• Ontology support
• Direct relational DB imports
• Dreamify, our shiny new hyperparameter tuning system
• Big performance boosts
Plus, Pinki our dog has finally conquered the indoor puke challenge.
April 4, 2025 at 9:17 AM
Exciting news friends!
Our latest @cognee.bsky.social update is live, featuring:
• Ontology support
• Direct relational DB imports
• Dreamify, our shiny new hyperparameter tuning system
• Big performance boosts
Plus, Pinki our dog has finally conquered the indoor puke challenge.
Our latest @cognee.bsky.social update is live, featuring:
• Ontology support
• Direct relational DB imports
• Dreamify, our shiny new hyperparameter tuning system
• Big performance boosts
Plus, Pinki our dog has finally conquered the indoor puke challenge.
Reposted by Hande
Give LLM your rules?
Your definition of a session, GBV or the details of your accounting practices.
Yes.
With ontologies!
Connecting related concepts across different documents is often necessary but traditional search methods can’t help since they treat each paper as an isolated document.
Your definition of a session, GBV or the details of your accounting practices.
Yes.
With ontologies!
Connecting related concepts across different documents is often necessary but traditional search methods can’t help since they treat each paper as an isolated document.
April 1, 2025 at 11:32 AM
Give LLM your rules?
Your definition of a session, GBV or the details of your accounting practices.
Yes.
With ontologies!
Connecting related concepts across different documents is often necessary but traditional search methods can’t help since they treat each paper as an isolated document.
Your definition of a session, GBV or the details of your accounting practices.
Yes.
With ontologies!
Connecting related concepts across different documents is often necessary but traditional search methods can’t help since they treat each paper as an isolated document.
Reposted by Hande
Short read, big insights 👇
We took knowledge graphs up a notch with formal ontologies.
You’ll find how we merge domain expertise + graph structures for more detailed insights at
@cognee.bsky.social in the below blog. Check it out.
We took knowledge graphs up a notch with formal ontologies.
You’ll find how we merge domain expertise + graph structures for more detailed insights at
@cognee.bsky.social in the below blog. Check it out.
March 31, 2025 at 9:33 AM
Short read, big insights 👇
We took knowledge graphs up a notch with formal ontologies.
You’ll find how we merge domain expertise + graph structures for more detailed insights at
@cognee.bsky.social in the below blog. Check it out.
We took knowledge graphs up a notch with formal ontologies.
You’ll find how we merge domain expertise + graph structures for more detailed insights at
@cognee.bsky.social in the below blog. Check it out.
Reposted by Hande
How do you run your own local AI stack?
In 4 minutes, you can setup Ollama with @cognee.bsky.social to go local with Phi-4 and Mistral
Going local mostly means:
- Better privacy
- Reduced costs
- More control & experimentation
But.. beware:
In 4 minutes, you can setup Ollama with @cognee.bsky.social to go local with Phi-4 and Mistral
Going local mostly means:
- Better privacy
- Reduced costs
- More control & experimentation
But.. beware:
March 26, 2025 at 8:47 AM
How do you run your own local AI stack?
In 4 minutes, you can setup Ollama with @cognee.bsky.social to go local with Phi-4 and Mistral
Going local mostly means:
- Better privacy
- Reduced costs
- More control & experimentation
But.. beware:
In 4 minutes, you can setup Ollama with @cognee.bsky.social to go local with Phi-4 and Mistral
Going local mostly means:
- Better privacy
- Reduced costs
- More control & experimentation
But.. beware:
Reposted by Hande
🧵 7 Common Misconceptions About Knowledge Graphs (and what devs should actually know)
If you’re working with data, LLMs, or building anything agentic —you’ll want to read this.
If you’re working with data, LLMs, or building anything agentic —you’ll want to read this.
March 24, 2025 at 6:00 PM
🧵 7 Common Misconceptions About Knowledge Graphs (and what devs should actually know)
If you’re working with data, LLMs, or building anything agentic —you’ll want to read this.
If you’re working with data, LLMs, or building anything agentic —you’ll want to read this.
Reposted by Hande
Want your AI to catch sneaky data errors and go beyond basic vector search?
We just released a blog on using knowledge graphs for smarter QA. Check it out!
ps: a sneak peek from the blog
We just released a blog on using knowledge graphs for smarter QA. Check it out!
ps: a sneak peek from the blog
March 19, 2025 at 5:30 PM
Want your AI to catch sneaky data errors and go beyond basic vector search?
We just released a blog on using knowledge graphs for smarter QA. Check it out!
ps: a sneak peek from the blog
We just released a blog on using knowledge graphs for smarter QA. Check it out!
ps: a sneak peek from the blog
Reposted by Hande
What’s the deal with Knowledge Graphs?
TL;DR: They don’t just store facts. They connect them.
They power AI memory, enable deep reasoning, and help LLMs process data with context - but what are they, really?
TL;DR: They don’t just store facts. They connect them.
They power AI memory, enable deep reasoning, and help LLMs process data with context - but what are they, really?
March 13, 2025 at 9:44 AM
What’s the deal with Knowledge Graphs?
TL;DR: They don’t just store facts. They connect them.
They power AI memory, enable deep reasoning, and help LLMs process data with context - but what are they, really?
TL;DR: They don’t just store facts. They connect them.
They power AI memory, enable deep reasoning, and help LLMs process data with context - but what are they, really?