Published: Dec. 22, 2023, 7:24 p.m.
b'
Po d\\u0142ugich miesi\\u0105cach gadania, przyszed\\u0142 czas na dzia\\u0142anie - wreszcie rozpocz\\u0119li\\u015bmy wdra\\u017canie semantic searcha! Przej\\u015bcie od teorii do praktyki by\\u0142o do\\u015b\\u0107\\xa0trudne, dlatego mamy dla Was gar\\u015b\\u0107 informacji, kt\\xf3re u\\u0142atwi\\u0105 Wam wej\\u015bcie w temat.
\\n
Rozmawiamy o tym czym jest semantic search, jakie nam daje korzy\\u015bci w por\\xf3wnaniu do tradycyjnego wyszukiwania, co musimy mie\\u0107, \\u017ceby go wdro\\u017cy\\u0107, jak po\\u0142\\u0105czy\\u0107 ze sob\\u0105 poszczeg\\xf3lne elementy ca\\u0142ej uk\\u0142adanki i jak takie rozwi\\u0105zanie zaimplementowa\\u0107.
\\n
Informacje dodatkowe:
\\n
\\n - "What is semantic search?", Elastic: https://www.elastic.co/what-is/semantic-search
\\n - "Large language model (LLM)", Wikipedia: https://en.wikipedia.org/wiki/Large_language_model
\\n - "What Is Retrieval-Augmented Generation, aka RAG?", NVIDIA Blogs: https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/
\\n - "Hybrid Search Explained", Weaviate: https://weaviate.io/blog/hybrid-search-explained
\\n - "Semantic search", SBERT: https://www.sbert.net/examples/applications/semantic-search/README.html#semantic-search
\\n - Hugging Face: https://huggingface.co/
\\n - PyTorch: https://pytorch.org/
\\n - TensorFlow: https://www.tensorflow.org/
\\n - Node.js: https://nodejs.org/en
\\n - Elasticsearch: https://www.elastic.co/elasticsearch
\\n - Kubernetes: https://kubernetes.io/
\\n - "Build Semantic-Search with Elastic search and BERT vector embeddings. ( From scratch )", Abid Saudagar: https://www.youtube.com/watch?v=KSwPR9eig7w
\\n - Jupyter Notebook: https://jupyter.org/
\\n - SentenceTransformers Documentation: https://www.sbert.net/
\\n - "k-nearest neighbor (kNN) search", Elastic Docs: https://www.elastic.co/guide/en/elasticsearch/reference/current/knn-search.html
\\n - Transformers.js, Hugging Face: https://huggingface.co/docs/transformers.js/index
\\n - "Export to ONNX", Hugging Face docs: https://huggingface.co/docs/transformers/serialization
\\n - "Symmetric vs. Asymmetric Semantic Search", SBERT: https://www.sbert.net/examples/applications/semantic-search/README.html#symmetric-vs-asymmetric-semantic-search
\\n - "Tutorial: semantic search with ELSER", Elastic Docs: https://www.elastic.co/guide/en/elasticsearch/reference/current/semantic-search-elser.html
\\n - "The Beginner\\u2019s Guide to Text Embeddings", Deepset: https://www.deepset.ai/blog/the-beginners-guide-to-text-embeddings
\\n
'