Querying: When a user asks a question, the GPT creates a vector for the prompt and retrieves semantically similar chunks. Vector stores can be used across assistants and threads, simplifying file management and billing. a Azure Cognitive Search) as a vector database with OpenAI python. Azure AI Search stores vectors at the field level, allowing vector and nonvector content to coexist within the same search index. k. The FileSearchTool allows retrieving information from your OpenAI Vector Stores. You’ll need to install langchain-community with pip install -qU langchain-community to use this integration Mar 12, 2025 ยท Today, I’ll walk you through how to create an AI assistant using OpenAI’s Assistant API, focusing on file search capabilities, threaded conversations, vector stores, and multi-assistant Embedding: Each chunk is converted into an embedding using OpenAI’s embedding models. What I’ve verified The vector store itself (vs_68f856a359e0819181fd825fe4e77eb3) still exists. The ImageGenerationTool generates images from a prompt. Setup the Rocket Chat API trigger to run a workflow which integrates with the OpenAI (ChatGPT) API.

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