SemanticSearch is a PyTorch-based code for searches in text
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Updated
Jul 8, 2023 - Python
SemanticSearch is a PyTorch-based code for searches in text
Optimize WordNet exploration with a semantic search algorithm, utilizing GloVe embeddings and CNF logic. Efficiently pinpoint target synsets within a constrained step count. Investigate parallel processing and optimization for enhanced performance. #WordNet #GloVe #SemanticSearch #CNF #Optimization #NLP
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
The simple client of NautilusDB, a Clound-Native Vector Search Service
🇺🇸(SEO Friendly with semantic HTML) a dynamic and responsive menu navigation built with Next.js, React.js, TypeScript, and Sass
Weaviate demo for JDayUSA 2023 (semantic search for the Joomla CMS)
Research Assistant Mini App
Semantic caching for Python Functions
About 18 Lessons, Get Started Building with Generative AI 🔗
Advancing the next generation of Retrieval Augmented Generation (RAG): A dynamic exploration of RAG technology's evolving landscape. This repository is the go-to resource for state-of-the-art developments, conceptual advancements, and the future trajectory of AI-driven information retrieval and generation.
vatiety of NLP projects
✨ 🧬 🖇️ Drupal Connector to index content to Turing Semantic Navigation
Experiments on entity based search
Given a superhero description, find the superhero associate with that description - A Semantic Search Project
A demonstration of semantic search using Pinecone and the MusicCaps dataset
Load Terms of Service and Privacy Policies into vectordb, semantic search, and question answering.
Exploring Cohere embeddings model for augmenting semantic search with LLMs.
ElasticEmbeddings is a simple application, which exposes an API for semantic search. The semantic search is done with OpenAI embeddings and Elasticsearch.
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