Model-agnostic semantic embedding enrichment framework
Project description
NeuroEmbed
NeuroEmbed is a model-agnostic embedding enrichment framework that injects semantic context into vector representations.
Features
- Encoder-agnostic
- Fully local
- Context-aware embeddings
- Drop-in for RAG and memory systems
Example
ne.embed("bank interest rate", context=["RBI policy", "repo rate"])
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