#python#ai#ai_agents#ai_memory#cognitive_architecture#cognitive_memory#contributions_welcome#good_first_issue#good_first_pr#graph_database#graph_rag#graphrag#help_wanted#knowledge#knowledge_graph#neo4j#open_source#openai#rag#vector_database
Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs.
https://github.com/topoteretes/cognee
Matter exists in different states:
● Solid – fixed shape and volume, particles tightly packed.
● Liquid – fixed volume, no fixed shape, particles slide past each other.
● Gas – no fixed shape or volume, particles far apart.
● Plasma – like gas but particles are charged.
● Glass – between solid and liquid, amorphous.
● Superfluid – liquid with no resistance near absolute zero.
● Bose-Einstein Condensate – particles act as one quantum entity.
● Fermionic Condensate – similar to Bose-Einstein but formed by fermions.
● Dropleton – quantum liquid of electrons and holes.
● Degenerate Matter – exists under extreme pressure inside stars or planets.
Matter changes state when energy is added or removed.
[Source]
https://t.me/googlefactss
@googlefactss🔬🌡️#Science#Matter#Physics#Education