Unlocking the Future of AI Memory Systems
Evaluating AI memory systems like Cognee requires new benchmarks beyond traditional metrics. Our recent assessment using HotPotQA revealed not just strong results, but also critical limitations of current evaluation methods.
Key Takeaways:
- Why HotPotQA?
- It demands multi-hop reasoning across diverse contexts but fails at measuring true memory capabilities.
- Evaluation Process:
- Conducted 45 runs with 24 questions, benchmarking against competitors Mem0, LightRAG, and Graphiti.
- Metrics Utilized:
- Exact Match (EM), F1, DeepEval Correctness, and Human-like Correctness were evaluated.
What’s Next?
- We’re building a new dataset tailored for AI memory that focuses on:
- Cross-context linking
- Temporal reasoning
- Multi-step inference
Let’s redefine evaluation standards for AI memory systems! Share your thoughts and join the conversation on innovative AI benchmarks. #AIMemory #Evaluation #Innovation
