Open-source multimodal retrieval engine (Morphik Core). By Morphik — AI back office for skilled nursing & senior living (morphik.ai).
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Updated
Jul 23, 2026 - Python
Open-source multimodal retrieval engine (Morphik Core). By Morphik — AI back office for skilled nursing & senior living (morphik.ai).
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.
Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine
High-Performance Engine for Multi-Vector Search
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.
LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.
🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐
Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment
Pixel-native visual RAG ported to Rust on the ruvector ANN substrate (HNSW + IVF-Flat) — screenshot/document retrieval over visual embeddings, a Rust port of PixelRAG, with a metaharness benchmark CLI: npx rupixel
A new novel multi-modality (Vision) RAG architecture
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.
Cloud-agnostic Agentic AI & Multi-Modal RAG platform with GraphRAG, intelligent routing, MCP enterprise integrations (Odoo, PostgreSQL), and pluggable LLM providers.
A monorepo containing various utility scripts, tools, and applications for development, automation, and AI-powered tasks.
#3 Winner of Best Use of Zoom API at Stanford TreeHacks 2025! An AI-powered meeting assistant that captures video, audio and textual context from Zoom calls using multimodal RAG.
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