Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Semantic Search using FAISS & ElasticSearch
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Semantic search with embeddings: index anything
Easily compute clip embeddings and build a clip retrieval system with them
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, Falcon and alike). Haystack offers production-ready tools to quickly build complex q...
Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud...
Top2Vec learns jointly embedded topic, document and word vectors.
🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native