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.
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
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.
A monorepo containing various utility scripts, tools, and applications for development, automation, and AI-powered tasks.
The repo provides the code for Qdrant for efficient image indexing and retrieval using models such as ColPali, ColQwen, and VDR-2B-Multi-V1, jina embeddings v4 etc enhancing multimodal search capabilities across various applications.
REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model
Vision-first document RAG for PDF, DOCX, and image QA/extraction with ColQwen2, Qwen2.5-VL, Qdrant, and FastAPI.
Vision-based RAG
Multimodal medical RAG: ColPali visual retrieval + Google Gemini + a Mondo Knowledge Graph, evaluated on the MIRAGE benchmark.
`ragpipe` is a lightweight RAG ingestion pipeline toolkit. It helps you go from documents → chunks → embeddings → vector store export.
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