Local-first RAG pipeline using TurboVec for vector search and LangGraph for orchestration, with Gemini API for response generation
10BC0-
Updated
May 21, 2026 - Python
8000
Local-first RAG pipeline using TurboVec for vector search and LangGraph for orchestration, with Gemini API for response generation
10BC0Offline, CPU, RAM RAG engine with quantized vectors (TurboVec), GGUF embedding/LLM models, REST API, MCP server, and multi‑language SDKs.
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.
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
A hyper-optimized, local RAG system built on Streamlit using Google's TurboQuant algorithm and Turbovec vector index for 4 GB RAM setups.
Lightweight, fast, secure, and free document chat system powered by Qwen AI and TurboVec search.
Spectra is a document search console for teams that need to turn messy files into searchable knowledge.
TurboQuant-compatible vector search plus graph memory for constrained RAG.
Amadeus-AI is python framework for autonomous AI agents with planning, execution graphs, and plugins.
Does TurboVec quantization hold up on exact-fact retrieval, or only on semantic similarity? Tests recall@k across bit_width 4/2 vs full precision on a synthetic report with 104 ground-truth facts. Finding: templated near-duplicate chunks (not "numbers" generally) are where compression breaks retrieval.
World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated
ANN cache with a shrink-guard save so a dual-write cannot wipe RAG while SQL still has rows.
Run offline RAG engines on CPU and RAM using quantized vector indexing, LLM quantization tools, and multi-language support.
Add a description, image, and links to the turbovec topic page so that developers can more easily learn about it.
To associate your repository with the turbovec topic, visit your repo's landing page and select "manage topics."