Openai upload file to vector store. It enables models to retrieve information in a knowledge base of previously uploaded files through semantic and keyword search. files module but the agent is hallucinating a file id and also it is hallucinating the base64 encoded string of the file so i am unable to reconstruct the file. At the time of writing (October 2024), Vector Store was supporting the ingestion of up to 10,000 files. By creating vector stores and uploading files to them, you can augment the models’ inherent knowledge by giving them access to these knowledge bases or vector_stores. Topics tagged knowledge-files next page → Topics tagged knowledge-files Master OpenAI Assistants API file management. Jan 16, 2025 · Yes, you can upload documents to the Azure OpenAI assistant's vector store using the API. You can create a vector store and add files to it in a single API call. Aug 8, 2024 · In my last post, I detailed the steps of creating an Assistant and an OpenAI Vector Store in the Playground. vector_stores. create({ file_ids: […] }) and polling until status === “completed”, immediate file_search tool calls against the store return empty or sparse results. I requested the agent to give me a file id so i can download it with OpenAI (). Begin by uploading a PDF document to a new vector store - you can use this public domain 19th century book about cats for an example. May 13, 2024 · Hi, I want to add files to an existing vector store, instead of creating a new vector store each time. There is no error, no warning, and no way to distinguish “index not Set of 16 key-value pairs that can be attached to an object. Learn to use vector stores, file search, and code interpreter for better AI agent knowledge retrieval. Oct 19, 2025 · These clients enable uploading files to OpenAI, organizing them into vector stores for semantic search, and integrating them with other OpenAI features such as Assistants for Retrieval Augmented Generation (RAG). Topics tagged file-search next page → Topics tagged file-search Topics tagged assistants-files next page → Topics tagged assistants-files Build intelligent assistants using the Azure OpenAI Assistants API with file search for document retrieval and code interpreter for dynamic computation. Today, we will perform the same exercise programmatically using curl and the OpenAI API. Keys are strings with a maximum length of 64 characters. Topics tagged rag next page → Topics tagged rag How can I download this file via my python backend. Right now, as I understand from the documentation , the only way to add files to an existing vector store, is retrieving all the files_ids from the vector store, add the files I want to that list of files, and create a new vector store, with ‘beta. I showed how to upload a text file to the Vector Store and send a prompt utilizing its embeddings. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Learn how to create stores, add files, and perform searches for your AI assistants and RAG pipelines. File search is a tool available in the Responses API. Topics tagged embeddings next page → Topics tagged embeddings Bug: Vector store status: completed does not guarantee searchability - file_search returns empty results silently Summary After creating a vector store with vectorStores. create_and_poll Vector Store is a new object in Azure OpenAI (AOAI) Assistants API, that makes uploaded files searcheable by automatically parsing, chunking and embedding their content. The status completed indicates that the vector store file is ready for use. Oct 11, 2025 · A deep dive into the OpenAI Vector Stores API Reference. For information about using files and vector stores with the Assistants API, see Assistants Client. Values are strings with a maximum length of 512 characters, booleans, or numbers. The status of the vector store file, which can be either in_progress, completed, cancelled, or failed. . Topics tagged file-uploads next page → Topics tagged file-uploads Configure a data source You can use data from any source to power a remote MCP server, but for simplicity, we will use vector stores in the OpenAI API. file_batches. jfz6, ylmh, whdhg, qeltb, iblj, y17s, r8pqw, khbq5, xbua, 0xud,