Official code for "Vision Transformers with Self-Distilled Registers" (NeurIPS 2025 Spotlight)
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Updated
Dec 6, 2025 - Python
Official code for "Vision Transformers with Self-Distilled Registers" (NeurIPS 2025 Spotlight)
A hybrid vector search using a mixture of sparse and dense vectors using Qdrant.
A configurable embedding gateway that unifies dense embeddings, sparse embeddings, and reranking models behind a single OpenAI-compatible API.
MCP server exposing hybrid RAG (BM25 + dense + RRF + reranking) over SEC filings — with FastAPI backend, Next.js frontend, and 22-query evaluation.
An AI agent's own long-term memory, on your machine — a local MCP memory graph in Rust. No cloud; no LLM in storing or search.
Semantic Hybrid Search with Sentence-Transformers + FAISS. Ask any question in plain English. Get the most relevant Wikipedia passages back — ranked by meaning, not just keywords.
Legal AI Assistant for Indian Law – A Hybrid RAG platform (FastAPI + React) built with Google Gemini 3.5 Flash, Dense Embeddings, and Cross-Encoder Reranking to make Indian legal statutes, contracts, and court procedures accessible in plain English.
Unified Hybrid Retrieval–Generation Architecture for Structured Domain Reasoning
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