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rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system...
PyTorch implementation of "Efficient Neural Architecture Search
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and...
Reggata is a tagging system for managing local files on a computer. Use it for organizing your huge collections of music, ebooks and photos (or any other files) with tags.
TESTERS NEEDED! Help the project: submit BUGS and request NEW FEATURES here https://github.com/vlkv/reggata/issues
Send me your FEEDBACK vitvlkv@gmail.com !!!
Nucular Archiving System for creating full text indices for fielded data. Python API, web, and command line interfaces. Fast. Very light weight. Concurrent read/writes with no possible locking issues. No server process. Proximity. Facets. Funny name.
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