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    May 10, 2023 · Querying a vector index: A vector index calculates embeddings for each document node and has them stored in a vector database like PineCone or Vertex AI matching engine.

  • We are using OpenAI library for two purposes: Data ingestion/indexing: as depicted in the architecture diagram above, we will be calling OpenAI’s embedding model text-embedding-ada-002 via LangChain under.
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    In this video, I go over how to use the gmail loader from llama hub and use it with the OpenAI model from Langchain.

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    pip install llama-index Examples are in the examples folder.

  • In this video, I go over how to use the gmail loader from llama hub and use it with the OpenAI model from Langchain.
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    What it does: it creates an index over your data using OpenAI embeddings vectors, using the OpenAI Ada model.