The content discusses using Colab to install necessary libraries and perform tasks like reading API keys, loading PDF documents, splitting documents into chunks, initializing OpenAI embeddings, and creating an Elasticsearch store for querying. It also includes code snippets for performing similarity searches on text queries. An example query is provided, and the results are displayed using a function called showResults. Additionally, the content includes an Anexo section discussing VM instances and Elasticvue. The Bibliografía section lists a resource for further reading. The overall focus is on utilizing Colab for text processing tasks using various libraries and tools.
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Source link: https://medium.com/@eduardo7sistemas/vectores-stores-and-indexing-i-40d1e67c8a0d?source=rss——openai-5
Collaborative coding with Eduardoflx in July 2024 #VectoresStoresIndexing
