Advanced Retrieval-Augmented Generation that projects high-dimensional vector embeddings onto multi-layered data topologies. Mirroring optical holograms, it ensures contextual, interference-free, and hyper-accurate LLM responses. Solves multi-hop reasoning via native multi-angle querying. Fast, scalable, and plug-and-play.
semantic-search hdc faiss rag vector-search streamlit hyperdimensional-computing vector-embeddings vector-symbolic-architecture ollama torchhd holographic-memory
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Updated
Aug 5, 2026 - Python