Vector databases are so hot right now WTF are they
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Vector Embeddings Tutorial Code Your Own AI Assistant with GPT-4 API LangChain NLP
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Ответы на вопросы:
Does OpenAI use vector databases?
This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases. Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions.
Does OpenAI store embeddings?
Once a file is uploaded and passed to the Assistant, OpenAI will automatically chunk your documents, index and store the embeddings, and implement vector search to retrieve relevant content to answer user queries.
What is the difference between embeddings and vector database?
While embeddings and vectors can be used interchangeably in the context of vector embeddings, "embeddings" emphasizes the notion of representing data in a meaningful and structured way, while "vectors" refers to the numerical representation itself.
How to store embeddings in a vector database?
Create a database and a table inside that database to store these embeddings. Then, create a table using the SQL editor. Make sure to select the workspace and database you created. Next, add these embeddings into the table created.
