🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
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Updated
Oct 16, 2026 - Python
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
High-quality search for AI-native applications.
PyLate efficient inference engine
Official repository of TACHIOM.
[ICML'26] LEMUR reduces multi-vector retrieval for late interaction models such as ColBERT into regular single-vector retrieval.
Fused Triton kernels for late-interaction (MaxSim) scoring
High-performance late-interaction retrieval engine for on-prem AI. ColBERT/ColPali multi-vector search with Rust fused MaxSim, Triton GPU kernels, ROQ quantization, LEMUR routing, WAL-backed CRUD, and a FastAPI server — single machine, CPU or GPU.
Monolingual Italian late-interaction (ColBERT) retriever for search and RAG
AccInt - local-first MCP Work Model for coding agents that learns from real outcomes.
Late-interaction retrieval (ColBERT + PLAID) in one numpy file — nanoGPT-style, with a Rust SIMD kernel ladder
Composable candidate generation and optional late-interaction (MaxSim) reranking, in Rust with Python bindings
A physics-grounded, agent-driven digital twin for HP Metal Jet S100 3D printer
Python library for MUVERA multi-vector retrieval via Fixed Dimensional Encodings. ColBERT / ColQwen2 / ColQwen3.5 compatible.
Sign-coded late-interaction retrieval at 8 B/token: code, paper and full reproduction recipe for ReNeuIR @ SIGIR 2026
Multimodal RAG that retrieves document pages as images using ColQwen2 late-interaction search, fused with dense and lexical retrieval. Modality-routed generation with page-level citations. Runs on a 4GB laptop GPU.
ColBERT inference in C++ (ONNX Runtime + tokenizers-cpp) without PyTorch.
ColPali-style multimodal late-interaction retrieval (text → document-image patches via MaxSim) — numpy reference implementation
ColFastVLM: Towards low-latency indexing in visual document retrieval
ColBERT late-interaction retrieval with RAGatouille: index passages and run token-level search with optional grounded answering.
MCP server exposing late-interaction (ColBERT-style MaxSim) document retrieval over a local folder — pluggable encoder, runs offline by default.
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