Docker compose for databases that i use.
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Updated
Aug 20, 2024
Docker compose for databases that i use.
Weaviate demo for JDayUSA 2023 (semantic search for the Joomla CMS)
This project focuses on developing a Retrieval-Augmented Generation (RAG) system tailored for Contract Q&A.
Image Search: Harnessing the Power of NestJS, Next.js, and Vector Databases for Accurate and Efficient Similar Image Retrieval.🐱🏍🐱👓👨🏻💻👩🏻💻
Weaviate, Unstructured | Ingest PDFs into Weaviate
a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)
Mini image search engine built with Nodejs and vector database (Weaviate). Inspired by @fireship-io
Data Science and Machine Learning projects
Semantic Book Search Recommendations
📸 Image Search App 🌐 - A fun React app for image search using Weaviate API! 🖼️🔍 Contributions welcome! 🤝 #ImageSearch #ReactApp
In this notebook combines LangChain and weaviate Database to ask questions related to your document. Powered by OpenAI's GPT-3.
This repository contains an application designed to recommend scientific papers that are most similar to a given input paragraph. The application uses the llama and weaviate libraries to achieve this.
A movie recommendation application that helps users find the best movies and TV shows to watch on their favorite streaming platforms based on their current needs
Using the vector search engine Weaviate
Question-answering system powered by Weaviate that uses Project Gutenberg eBooks as its knowledgebase.
Register knowledge and files in a vector database, and generate information based on questions using the OpenAI API. This knowledge management and search support tool efficiently searches for relevant knowledge through vector search powered by Weaviate.
This prototype kit facilitates the integration of the Weaviate vector database with Google's Breadboard, a library designed for prototyping generative AI applications.
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