TurboQuant-compatible vector search plus graph memory for constrained RAG.
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Jun 13, 2026 - Rust
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turbovec
Here are 10 public repositories matching this topic...
Movie recommendation engine featuring a 6-model hybrid ensemble (SBERT semantic, turbovec vector search, Collaborative Filtering, PageRank, Content, Knowledge Graph) with FastAPI & React Vite. Powered by PySpark MLOps.
react python nlp machine-learning pagerank collaborative-filtering pyspark knowledge-graph recommendation-system cosine-similarity semantic-search mlops vite fastapi hybrid-recommender movie-recommendations vector-database sentence-transformers huggingface-spaces turbovec
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Jun 15, 2026 - Python
A hyper-optimized, local RAG system built on Streamlit using Google's TurboQuant algorithm and Turbovec vector index for 4 GB RAM setups.
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Jun 10, 2026 - Python
Local-first RAG pipeline using TurboVec for vector search and LangGraph for orchestration, with Gemini API for response generation
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May 21, 2026 - Python
Offline Q&A over Wikipedia ZIM files – full‑text + semantic search using TurboRag. Zero internet required after setup. Run on low‑CPU, low‑RAM devices. using llama.cpp
offline-first wikipedia embeddings kiwix gemma rag zim-archives zim-wiki offline-agent wikipedia-offline turboquant turbovec ahx47 turborag gemma-embedding-300m wekipedia-agent kiwix-zim zim-rag vectors-search
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Jun 7, 2026 - Python
Offline, CPU, RAM RAG engine with quantized vectors (TurboVec), GGUF embedding/LLM models, REST API, MCP server, and multi‑language SDKs.
nodejs python rust sdk neon embeddings simd quant nearest-neighbors quantization avx512 faiss vector-search faiss-vector-database turboquant turbovec
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Jun 7, 2026 - Python
Lightweight, fast, secure, and free document chat system powered by Qwen AI and TurboVec search.
question-answering rag vector-search vector-database langchain local-llm document-qa open-source-llm rag-pipeline qwen3 qwen3-embeddings turboquant turbo-quant turbovec
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Jun 12, 2026 - Python
Offline CRUD + semantic search agent for ZIM archives (Kiwix format). Read, write, edit, delete articles, build vector indexes, and serve via MCP – all offline, low‑resource.
sqlite3 crud-application embedding-models kiwix agents semantic-search rag zim-archives kiwix-offline-wikipedia zimlib mcp-tools wikipedia-offline fts5-search turbovec ahx47 kiwiks zim-agent turborag gemma-embedding-300m
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Jun 7, 2026 - Python
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Jun 12, 2026 - JavaScript
Run offline RAG engines on CPU and RAM using quantized vector indexing, LLM quantization tools, and multi-language support.
python embeddings archive simd avx512 gemma zim-archives vector-search kiwix-offline-wikipedia turboquant turbovec ahx47 turborag gemma-embedding-300m kiwix-zim zim-rag local-gguf
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Jun 15, 2026 - Python
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