I built my own SEMANTIC TEXT SEARCH WEB APP using OPENAI EMBEDDINGS + STREAMLIT | ada-002 engine

In this tutorial, we will be building a simple search engine for notebooks using OpenAI's text-embedding-ada-002 engine and Streamlit. This engine uses machine learning algorithms to generate high-dimensional vectors (embeddings) that capture the meaning of text. With these embeddings, we can use techniques such as cosine similarity to measure the similarity between different notes and retrieve the most relevant results for a given search query.

@OpenAI Text and Code Embeddings Blog post - https://openai.com/blog/introducing-text-and-code-embeddings/
Open AI Documentation - https://platform.openai.com/docs/guides/embeddings/what-are-embeddings
@streamlitofficial …

ada algorithms app blog building embedding embeddings machine machine learning machine learning algorithms meaning notebooks notes openai query search search engine semantic streamlit text tutorial vectors videos web