Pinecone delete by metadata Mar 16, 2023 · Hi, I’m trying to use the delete method with namespace and metadata filters in the Python library and nothing happens. Here’s what I do exactly: pinecone. Once the parentId is identified, use the fetch endpoint to retrieve the chunkCount from the metadata Dec 12, 2023 · The Delete request that is shown was when I deleted one by vector ID rather than filtered by metadata. Delete records by ID or metadata filter from indexes This page shows you how to delete records from an index namespace. Setting Up Pinecone First, let’s start by initializing Pinecone and creating an index. Every record in an index must contain an ID and a dense or sparse vector. List, check status, and delete files from your assistant. metadata. Delete by ID (to avoid delete by metadata filter) Identify the parentId This could be an internal process to identify documents that have been modified or deleted. When you search the index, you can then include a metadata filter to limit the search to records matching the filter expression. Sep 23, 2023 · From what I understand, the issue involved deleting Pinecone vectors by their auto-generated IDs and using metadata filters. If specified, the metadata filter here will be used to select the vectors to delete. . In this case, metadata is commonly used. 2. We’ll add some vectors along with metadata to illustrate the deletion processes. Pinecone Filtering with metadata You can limit your vector search based on metadata. Still curious why the first namespace I was using doesn’t let me delete anything but others do. init (api_key=key, environment=region) index = pinecone. May 24, 2023 · Deleting vectors that match a metadata field is possible using the delete vector API by passing the filter parameter. There was a code snippet provided by me demonstrating how to delete vectors based on the returned IDs from a similarity search, and it was later revised to address the issue by emphasizing the use of doc. This is mutually exclusive with specifying ids to delete in the ids param or using delete_all=True. Oct 5, 2024 · In the cloud version of Pinecone, I don’t think you can delete items by metadata due to limitations on serverless indexes according to their docs: Delete data - Pinecone Docs but you could try deleting records using their ID prefix instead? Sep 23, 2023 · In this blog post, we will walk through various methods to delete records in a Pinecone vector store using Python. Link related chunks: Use fields like document_id and chunk_number to keep track of related records and enable efficient chunk deletion Jan 17, 2024 · Hi Pinecone Support, I recently upgraded to the serverless version of Pinecone and encountered an issue with deleting specific vectors. Selective metadata indexing For pod-based indexes, Pinecone indexes all metadata fields by default. Narrow search results with metadata filtering. When metadata fields contains many unique values, pod-based indexes will consume significantly more memory, which can lead to performance issues, pod fullness, and a reduction in the number of possible vectors that fit per pod. id to Apr 2, 2023 · How can i delete all vectors in a namespace of an index in pine cone Asked 2 years, 7 months ago Modified 1 year, 4 months ago Viewed 8k times Oct 30, 2025 · Pinecone introduces three new bulk data operations—Update, Delete, and Fetch by Metadata—enabling developers to manage vector database records at scale using metadata filters instead of collecting IDs manually. In addition, you can include metadata key-value pairs to store related information or context. Index (<IND… Values must be one of the following data types: String Integer (converted to a 64-bit floating point by Pinecone) Floating point Boolean (true, false) List of strings Null metadata values aren’t supported. Feb 7, 2025 · An Exhaustive Guide to Using Pinecone for Vector Databases Vector databases have emerged as a critical component in building and scaling AI applications, enabling efficient storage, retrieval, and … Jul 10, 2023 · Therefore, if you want to delete a specific PDF file, you will need a unique identifier (such as a filename) to identify all the embeddings associated with that PDF file. In the free version, I used metadata (UserID and filename) to identify and delete s… If specified, the metadata filter here will be used to select the vectors to delete. However, since this particular metadata field is high-cardinality (millions of values) and we have no need to query based on this value, we use selective metadata indexing to avoid indexing it: My question is if the metadata field is not indexed, then is the delete-by-filter May 15, 2023 · This article discusses the topic of filtering vectors with metadata in Pinecone, allowing you to attach key-value pairs to vectors and perform queries based on filter expressions, resulting in improved search latency and precise retrieval of nearest-neighbor results that match the filters. Or, this could be a end-user initiated process to delete a document based on a query that finds a sibling chunk or parentId. These operations simplify common tasks like bulk updates, GDPR compliance, and data cleanup. See Delete data. Instead of setting a key to null, remove the key from the metadata payload. Examples Valid metadata Invalid metadata Include metadata Include metadata key-value pairs that support your application’s key operations, for example: Enable query-time filtering: Add fields for time ranges, categories, or other criteria for filtering searches for increased accuracy and relevance. blgvfp dtgw qbywgs qxuglj puogb onownq wehbxv hrzlui giqbojk hylbxta remmk eep ivtto vmwq hsvh