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Building smarter LLM applications isn't just about better models - it's about better memory. HawkinsDB is our take on giving AI systems a more human-like way to store and recall information, inspired by how our own brains work. Based on Jeff Hawkins' Thousand Brains Theory, it helps AI models manage complex information in a way that's both powerful and intuitive.
š Note for RAG Users: If you're specifically looking to implement Retrieval-Augmented Generation (RAG), consider using HawkinsRAG - our dedicated package built on top of HawkinsDB that simplifies RAG implementation with support for 22+ data sources. Check out the documentation and examples for more details.
š¤ Note for Agent Developers: If you're interested in building AI agents, check out Hawkins-Agent - our specialized framework built on HawkinsDB for creating intelligent agents. Visit our GitHub repository for implementation details.
While vector databases and embeddings have revolutionized AI applications, they often miss the nuanced, multi-dimensional nature of information. Here's why we built HawkinsDB:
