A semantic search engine prototype, made with SentenceBERT, ontological definitions, and full-text search.
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Updated
Dec 6, 2020 - Python
A semantic search engine prototype, made with SentenceBERT, ontological definitions, and full-text search.
The search engine that powers the project EPACS (Effective Parliament Archive Connect System).
The basis for the BIOfid semantic search
A CLIP-powered Semantic Search Engine using Pinecone, FiftyOne, and Streamlit.
Applied Word Vectorization Technique to Semantic (Web) Video Search Engine
The code I produced in my research internship in Summer 2022. I created a search interface in streamlit to query ArXiv articles using semantic embeddings. This involved a lot of background learning and was my first experience with sentence embeddings, transformers, and machine learning.
Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).
Ezra 聖經語意搜尋 - Semantic Search Engine for Chinese Bible
Repositório destinado ao Trabalho de Conclusão de Curso
Semantic Video Search Engine
Flask app to perform image search using semantic matching of input text and images
Examples of how to use IP Street's semantic search to perform prior art search and find relevant documents
Build a search engine using FAISS (Facebook AI Similarity Search) that can help us find the most related book to our quotes or queries, both in English and Italian books
Leveraged natural language processing and machine learning techniques to enhance the relevance and accuracy of search results by building a semantic search engine.
PHP Marmotta Client
A Python-based search engine for OpenAI's ChatGPT conversation history, enabling efficient semantic search and interactive engagement with archived chats using text embeddings
A Flask app with a search engine for GoodReads books, featuring simple and neural search capabilities using Whoosh, Annoy and HuggingFace transformers.
Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.
Creating a semantic search engine by making use of genism-topic modelling and flask framework
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