semantic-search

🔮 Build cross-modal and multimodal applications on the cloud · Neural Search · Creative AI · Cloud Native · MLOps

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

vector search engine

💡 Build AI-powered semantic search applications

Top2Vec learns jointly embedded topic, document and word vectors.

🧬 The data structure for unstructured multimodal data · Neural Search · Vector Search · Document Store

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

🔎 Search the information available on a webpage using natural language instead of an exact string match.

Tensor search for humans.

Awesome Search - this is all about the (e-commerce) search and its awesomeness

Easily compute clip embeddings and build a clip retrieval system with them

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Jina examples and demos to help you get started

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

🧞 No-code tool for creating a neural search solution in minutes

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

📑 Neural Search