Ecommerce Search and Discovery - marqo.ai

State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.

Marqo's Course on 'Fine-Tuning Embedding Models for Semantic Search'.

State-of-the-art embedding models fine-tuned for the ecommerce domain. +67% increase in evaluation metrics vs ViT-B-16-SigLIP.

Demo of a RAG Question and Answering System with Llama 3.1 and Marqo

Python client for Marqo

Article on Marqo + GPT3 for news summarisation

Simple demo of a Local RAG Question and Answering System with Google Gemma 2 2B and Marqo

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This is a demo of E-Commerce search using Marqo that can be run locally on a laptop or desktop with or without a GPU.

MarqoAI management UI for developers

AutoML/Unstructured Data Processing for RAG and LLM Dataset Creation. Current Database Options are: Qdrant or Marqo DB.

Search through your codebases with Marqo and an LLM all hosted locally.

RAG with branching search based on knowledge domains. Uses Qdrant or Marqo DB as the database.

Enhance SQL query generation using OCI Gen AI and Marqo. This project integrates with Oracle Autonomous Data Warehouse, leveraging DDL and comments for context-aware natural language queries, indexing and searching vectors, and executing optimized SQL commands.

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An intelligent fashion image recognition and search system based on MVC/MVP architecture, using Milvus vector database and Marqo/marqo-fashionSigLIP AI model for fashion image feature extraction and similarity search.

Summarise, query and ask questions about software specs in github

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Examples using Marqo DB. Currently includes examples of file processing and RAG.

Demo of a RAG Question and Answering System with Llama 3.3 and Marqo Resources

Go client for Marqo.ai multimodal vector search

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Testing out Marqo, an end-to-end vector search engine.

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n8n community node for Marqo vector database

Api tests for marqo

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Marqo Demo - images store