Pinecone delete by metadata Is the correct approach to this to do a query with the relevant metadata, set the topK to infinity, and delete based on IDs Deleting vectors that match a metadata field is possible using the delete vector API by passing the filter parameter. To control how many search Hiya - is there a way to retrieve all metadata for a specific metadata field? For example if I have a “company name” field attached as metadata for all my vectors, to use a query to return the unique company names. One might also play with namespaces (at least in pinecone), to sort documents by access level. Search Navigation. Support. Namespaces. The examples above are based on a simple ID prefix (doc1#), but it’s also possible to work with more complex, multi-level prefixes. You can list, describe, and delete indexes in Pinecone easily: # List all indexes print Arguments: ids (List[str]): Vector ids to delete [optional] delete_all (bool): This indicates that all vectors in the index namespace should be deleted. query method. For example, to delete all vectors with genre “documentary” and year 2019 from an index, use the following code: In the free version, I used metadata (UserID and filename) to identify and delete specific vectors, as shown in the following code snippet: const fileToDelete = user. Manage RAG documents. According to their release, with serverless you are no longer able to delete vectors by metadata filtering, which is the primary way to delete using lla As you might already know, all you need to do is set deleteAll: true in the Delete API. Is there a way to delete all items having Update (2024–02–19): Updated code to reflect changes from langchain and pinecone-client. The Delete operation deletes vectors, by id, from a single namespace. With its vector database at the core, Pinecone is the leading knowledge platform for building accurate, secure, and scalable AI applications. Either add support for null values or allow specify a delete_metadata set. Because HTTP/2 is mandatory for gRPC, this causes significant request queuing over a gRPC channel under high concurrency scenarios, resulting in a poor scalability of the GrpcTransport with low ceiling for throughput. If specified, the metadata filter here will be used to select the vectors to delete. Preparing Pod Spec Metadata Config; Ranked Document; Rerank Options; Rerank Result; Rerank Result Usage; Scored Pinecone Record; Serverless Spec; Collection Name; Create Index Request Metric Enum; Delete Collection Options; Delete Index Options; Delete Many By Filter i am trying to delete vector based on metadata using javascript using below code but i am receiving error saying - Error calling _deleteRaw: RequiredError: Required We are also making index creation and management even simpler for new users by removing some of the complex and rarely used features from free indexes, such as namespaces, collections, and delete by metadata. The only way to fetch data is to is by providing the list of IDs you want to fetch, at least according to the fetch API docs, which implies that you’re tracking them somewhere outside of Pinecone. Hello, Thank you for reaching out. The app allows users to upload documents to a Knowledge Base, which can then be segmented into categories called “Brains” by attaching documents. 0 I don’t think that API exists. from pinecone import Pinecone, PodSpec pc = Pinecone (api_key = '<<PINECONE_API_KEY>>') pc. Metadata search: Apply structured query to the metadata, filtering specific documents. Preparing search index The search index is not available; Pinecone TypeScript SDK - v4. Pinecone then confines all queries and other operations to a single namespace, thus separating the records as if they existed in separate indexes. You can combine filters and filter on multiple metadata values. Metadata payloads must be key-value pairs in a JSON object. For guidance and examples, see Fetch data. This deletes all vectors matching the metadata filter expression. find(file You can attach metadata key-value pairs to vectors in an index. You can delete items by their id, from a single namespace. Problems with http API and starter plan & metadata filter Hi, I started using Pinecone, starter plan, to store my WordPress webiste posts embeddings. A post was split to a new topic: Langchain deleting with Metadata filtering. However, this changes Metadata cardinality can impact performance. Documentation. When using the Pinecone Python SDK you may encounter a bug where strings in metadata are interpreted as datetime objects. create-collection Creates Out of Domain Datasets. You are correct that serverless indexes do not support delete by metadata functionality. model to one of Pinecone’s hosted sparse embedding models. Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Provide a name for the index. Vector search or dense retrieval has been shown to significantly outperform traditional methods when the embedding models have been fine-tuned on the target domain. ; Set Delete specific records by ID. ; If you are upgrading from v1. This attribute is then translated to a valid Pinecone filter using the PineconeTranslator class and used as the filter argument in the index. com/EKPmkUcTuAKLb3KHUR0nOkGithub : Create and manage vectors with metadata. Instead, you can delete records by ID prefix. Don’t worry. com/EKPmkUcTuAKLb3KHUR0nOkGithub : Hi @shobrookj, Pinecone is eventually consistent, so there can be a slight delay before new or changed records are visible to queries and other read requests. Using namespaces instead of several indexes. These Brains can be attached to “Expert” chatbots to configure the user’s knowledge. Configure pod-based indexes. Instead, based on a breakthrough architecture, serverless indexes scale automatically based on usage, and you pay only for the amount of data stored and operations performed, with no minimums. Returns. Hi, I am looking to fetch all vectors that match a meta data filter. GET. as_query_engine(). The returned vectors include the vector data and/or metadata. lee1 June 7, 2023, 8:10am 1. When updating metadata, only the specified metadata fields are modified, Pinecone is eventually consistent, This page shows you how to upload a file, view a list of files, check the status of a file, and delete a file from your assistant. For serverless indexes, however, it is not Hi! I’m storing vectors from multiple sources (A Wiki and a Ticketing system) in Pinecone. See. It returns matching ids in a paginated form, with a pagination token to fetch the next page of results. Abstract: This blog post delves into the process of implementing CRUD (Create, Read, Update, Delete) operations using Pinecone, We’ll process input data and metadata to By default all metadata fields are indexed when records are upserted with metadata, Defined in src/pinecone. Because high-cardinality metadata in serverless indexes does not cause high memory utilization, this operation is not relevant. You can delete items by their id, from a single namespace. Pinecone home page. Async delete by vector ID or other criteria. You can also add the metadata filter as needed. Understanding metadata. What I would like to do is to be able to delete all chunks of the file if I want to (for Here is a node. Github Repo Pinecone Docs. Returns: Working on a ChatYourData project with Langchain and Next. Here’s how you can delete all records that match a certain condition: I’ve gotten emails from Pinecone suggesting I move to serverless, but the inability to delete via metadata, and instead using an iteration approach based on doc ID (Manage RAG documents - Pinecone Docs) is a blocker for me. show post in topic. This can reduce latency and improve the accuracy of Guide: Using Vector Store Index with Existing Pinecone Vector Store Guide: Using Vector Store Index with Existing Weaviate Vector Store Neo4j Vector Store - Metadata Filter Oracle AI Vector Search: Vector Store A Simple to Advanced Guide with Auto-Retrieval (with Pinecone + Arize Phoenix) Pinecone Vector Store - Metadata Filter Good morning, I have to store around 300,000 embedding vectors for a RAG application. I am using the python client. This is because of a bug in the OpenAPI code used for the REST interface in the client. movie-recommendations-serverless Delete data. afrom_documents (documents, embedding, **kwargs) Async return VectorStore initialized from documents and embeddings. query(‘some query'), but then you wouldn’t be able to specify the number of Pinecone search results you’d like to use as context. update or delete by metadata. Target an index. Create a new API key in the Pinecone console, or use the widget below to generate a key. If you’re returning all of the values and metadata for these vectors you’re probably running up against the limits in a single HTTP request. I am using it via plain http API. I considered Pinecone early this year, I experimented with a lot of other solutions, and I want to build with Pinecone, but I feel that those workarounds shouldn’t be there, and we as developers shouldn’t be constantly pointing this out. Since I’m using the cloud version, I can’t use the LangChain code node. The id of the record. Index(indexName) const namespaceIndex = index. Pinecone allows you to delete multiple records based on metadata. However, as AI capabilities and vector search engines become more available, satisfying Commands: askquestion Queries Pinecone with a given vector. The fetch operation looks up and returns vectors, by ID, from a single namespace. . One of the lesser-known issues with metadata, which I don’t see mentioned anywhere on this post, is that of metadata cardinality impacting performance. Pinecone is eventually consistent, so there can be a slight delay before new or changed records are visible to queries. embeddings, vector-database. Metadata filtering. For example, let’s say you use the prefix pattern doc#v#chunk to differentiate between different versions of a document. Latest. delete_index('example-index') Pinecone Use Cases. The query endpoint searches the index using a query vector. For a complete list of serverless index limitations, many of which only apply to the ongoing public preview period, please see Limits. ImportFeatureMixin): View Source You must perform an upsert operation to remove existing metadata fields from a record. pinecone_index. kwargs (Any) Returns: List of Documents selected by maximal Documentation for Pinecone TypeScript SDK. This is so I can have a dropdown filter in an app to filter my metadata when querying Pinecone. File upload limitations depend on the plan you are using. Use metadata filtering. First, let’s start by initializing Pinecone and creating an Serverless indexes do not support delete by metadata. Pinecone's metadata query language allows for the combination of metadata filters using logical operators like AND and OR. When I query by namespace, it generates a correct result But Metadata Support: Store and filter vectors based on metadata. Using namespaces. Thanks, Nassim How to delete specific data from my pinecone index. This is mutually exclusive with specifying ids to delete in the ids param or using delete_all=True. In additon, you can include metadata key-value pairs to store additional information or context. Old habits die hard after all. One approach for deleting vectors by metadata is to query for the IDs using a filter and then batch delete the retrieved IDs. Pod Spec Metadata Config; Scored Pinecone Record; Serverless Namespaces allow you to partition the records of an index. Search through billions of items for similar matches to any object, in milliseconds. Remove a metadata field from a record. Documentation for Pinecone TypeScript SDK. For instance, you might be attempting to filter on the some_field_id field, which is not listed in the indexed section Hello guys, I have created a namespace “Test Vector”. Each Document object contains metadata and pageContent properties. Does metadata filtering in Pinecone work with an arbitrary number of elements of metadata, or only one? jamesbriggs April 29, 2022, 11:24am 2. I frequently re-index the sources independent from one another. Here is example usage with Pinecone, showing that we filter for all documents that have the metadata key source with value tweet. Serverless indexes do not support delete by metadata. Provide details and share your research! But avoid . Returns: By default, Pinecone indexes all metadata. Index In the delete docs, pinecone suggests prefixing ids with a unique id. dra July 11, 2023, 5:23am 4. 3) This small cheat sheet goes though the most common operations To create a sparse index with integrated embedding, use the create_for_model operation as follows:. Currently there’s a limit to how much metadata you can store (5KB per vector) but that increase soon. My recommendation is is to map a namespace to a user_id but it’s not critical if you choose not to. What is, in your opinion, the right pricing plan considering that users will query a virtual assistant approximately 20 times per day? Thank you for your time and consideration. Returning all vectors in an index There’s a limit of 1000 IDs in a single fetch operation, but I don’t think that’s the issue here. To update only part of a record, use the update A post was split to a new topic: Langchain deleting with Metadata filtering. Indexes. See Understanding metadata. How and when to increase the size of an index. Load vector embeddings and metadata into your index using Pinecone’s import or upsert feature. Pinecone Node. When you query the index, you can then filter by metadata to ensure only relevant records are scanned. Selective metadata indexing. The name of the collection to delete. configure-index-replicas Configures the number of replicas for a given index. [optional] Default is False. Since it’s not possible to store null / None values in pinecone metadata, it doesn’t seem feasible to nullify a previously set metadata key without resorting to dirty tricks like storing a hardcoded UUID in place. You will need to provide the existing ID and values of the vector. Filtering index statistics by metadata This page shows you how to use the upsert operation to write records into a namespace in an index. com/watch?v=eimqKxVEorUWhatsapp community : https://chat. Index types. Delete Collection Options; Delete Index Options; Delete Many By Filter Options; Delete Many By Record Id Configuration for the behavior of Pinecone's internal metadata index. However, since this particular metadata field is high For pod-based indexes, you can delete records by metadata by passing a metadata filter expression to the delete operation. How to index documents with Langchain and Pinecone. patrick1 Split this topic March 21, 2024, 4:25pm 6. Preparing Pod Spec Metadata Config; Ranked Document; Rerank Options; Rerank Result; Rerank Result Usage; Scored Pinecone Record; Serverless Spec; Collection Name; Create Index Request Metric Enum; Delete Collection Options; Delete Index Options; Delete Many By Filter Hey guys I am struggling to get the parameters for index. Operation limits are fixed and do not vary based on pricing plan. namespace (str | None) – Namespace to search in. Metadata string value returned as a datetime object. By default, all metadata is indexed; when metadata_config is present, only specified metadata fields are indexed. This functionality allows for the efficient Describe the question I made a workflow to insert a file (chunked) in a Pinecone database, with filename as metadata. Deleting records by metadata. js SDK for Pinecone, written in TypeScript. I need to actually delete these entries via metadata, but now I am unable to query them with the proper metadata filter . Data. namespace(nameSpace); const res = await Delete. Get an API key. For more information about filtering with metadata, see Understanding Pinecone Assistant. Using namespaces vs. ts:14; Settings. In any situation where you may be seeking to programmatically create indexes, you also likely should consider using namespaces instead. Bug Description Pinecone is forcing all free plans to migrate to serverless indexes. x, check out the v2 Migration Guide. Return type. Instead, you can use the list operation to fetch the vector IDs based on their common ID prefix and then delete the records by ID. Searches with Serverless indexes do not support delete by metadata. You can find an example of fetching the records by prefix at Fetch all records for a parent document. afrom_documents pinecone_api_key (Optional[str]) – The api_key of Pinecone None) – Dictionary of argument(s) to filter on metadata. Perhaps @Cory_Pinecone can comment if this is the official recommended way? 1 Like. To use, Async delete by vector ID or other criteria. Every record in an index must contain an ID and dense vector embedding. When a question is asked to an Expert, it should only have knowledge of the If specified, the metadata filter here will be used to select the vectors to delete. If you want to delete your Pinecone organization entirely, you’ll need to delete all projects, which first requires deleting all indexes and collections, Is this a new bug? I believe this is a new bug I have searched the existing issues, and I could not find an existing issue for this bug Current Behavior I am trying to test the serverless option as we are using a bunch of indexes in our Documentation for Pinecone TypeScript SDK. Optional sparse Values?: RecordSparseValues. If a record ID already exists, upsert overwrites the entire record. Only aws in eu-west-1, us-east-1, and us-west-2 are supported at this time. Get Started Contact Sales Pinecone helps power AI for the world’s best companies Pinecone vector store. twitter linkedin. filter (Dict[str, Union[str, float, int, bool, List, dict]]): If specified, the metadata filter Deleting records by metadata. Home Pinecone First video : https://www. These configurations are Delete records per second per namespace: 5,000: 5,000: 5,000: or other characteristics of operations in Pinecone. In this namespace there are some vectors with various metadata. 🤖. Very powerful and quick. By adding metadata to your vectors, you can filter by those fields at query time. Home The returned records are complete, including all relevant dense vector, metadata, and sparse vector values. You can use the Delete data. This feature is available on AWS only. It’s a small (<1000 vector) db and easily enough deleted and reimported, but it has me wondering: is there perhaps some simple native method of Delete your Pinecone account. bulk_import. To create, upload, and list your own dataset for use by other Pinecone users, see Creating datasets. (These map to an external db with the uuid4 as the primary key). Preparing Pod Spec Metadata Config; Ranked Document; Rerank Options; Rerank Result; Rerank Result Usage; Scored Pinecone Record; Serverless Spec; Collection Name; Create Index Request Metric Enum; Delete Collection Options; Delete Index Options; Delete Many By Filter Deleting records by metadata. Pinecone Delete. 0 After your data is indexed, you can start sending queries to Pinecone. There are two types of indexes: Serverless indexes: With serverless indexes, you don’t configure or manage any compute or storage resources. The core of our system is the Documentation for Pinecone TypeScript SDK. The number of WUs used by a delete request is proportional to the total size of records it deletes, with a minimum of 1 WU. Work with multi-level ID prefixes. Initialize while adding records: The from_documents and from_texts methods of LangChain’s PineconeVectorStore class add records to a Pinecone index and return a I have to move data from old account to new one. upsert() right I have this csv where one colum is a paragraph of text and the other column is the embedding for that text, created with gpt-3. Configuration for the behavior of Pinecone's internal metadata index. Motivation. At the time of writing, Pinecone's HTTP/2 stack is configured to allow few or even just 1 concurrent stream per single HTTP/2 connection. Filter by document metadata. The changes are related to removing namespaces and delete by metadata feature. collectionName: string. Filtering index statistics by metadata. The metadata property of the Document object can class Index (pinecone. This is similar to namespaces, except you are not limited to a single filter. const { PineconeClient } = require('@pinecone-database/pinecone'); const To delete your Pinecone account, you need to remove your user from all organizations and delete any organizations in which you are the sole member. This id list can then be passed to fetch or delete options to Luckily, SmartWiki can lean on Pinecone’s abstractions — indexes, namespaces, and metadata — to develop a multi-tenant system in a straightforward way. 0 This page shows you how to view a list of assistants, check the status of an assistant, update an assistant, and delete an assistant. Billing disputes and refunds. The metadata you provide in the upsert operation will replace any existing metadata, thus clearing the fields you seek to drop. Keys must be strings, and values can be one of the following data types: String; Number (integer or floating point, gets converted to a 64 bit floating point) Booleans (true, false) List of strings We can delete the pinecone namespace every time we upload new data to it. Namespaces allow you to logically group and isolate vector data within a single index. Metadata Adapt the pinecone vectorstore to support upcoming starter tier. Creating the RAG Pipeline. When I want to delete 1 full document, I can just use the filter on metadata. If filter_value is None, no filter will be applied. porpoise April 9, 2023, 8:38pm 17. Delete Many By Filter Options: object. data. The following table contains the WU cost of a delete request at different batch sizes and record dimensionality, assuming Techniques Pros Cons; Separate Indexes Each customer would have a separate index • Customer data is truly separated physically by indexes • You cannot query across customers if you wish • Cost and maintenance of several indexes: Namespaces You can isolate data within a single index using namespaces • You can only query one namespace at a time, which would I’ve built dozens of applications where Mongo DB was the system of record, and that’s unlikely to change. Build a RAG app with the data. js script I wrote to delete all vectors in all namespaces: // Import the PineconeClient. Defined in src/data/deleteMany. 4 Likes. metadata filtering. For more details, please check the official documentation at the following link. ; Set the cloud and region where the index should be deployed. So after processing the Wiki, I want to delete all old Wiki vectors and add all new ones. Vector store support for metadata filtering is typically dependent on the underlying vector store implementation. Default will search in ‘’ namespace. These actions cannot be undone. The issue you're facing seems to be related to the structure of the result object returned by the similaritySearch method. In the langchainjs framework, this method returns an array of Document objects. namespace (str): The namespace to delete vectors from [optional] If not specified, the default namespace is used. (langchain==0. [pinecone-fetch] I’d love to see the fetch API expanded to take these optional arguments, consistent with the query endpoint: namespace for limiting to a . What is causing this bug and how can I delete these vectors? I am currently in a rut with my app development. I want to store the About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright Hello, good morning. Metadata re-configuration. This endpoint can optionally return the result’s vector values and metadata, too. Group 632521 3003×1410 If specified, the metadata filter here will be used to select the vectors to delete. pinecone_api_key (Optional[str]) – The api_key of Pinecone. If you wanted to delete all records for one version of a document, first list the record IDs based I currently store vector objects with ids as uuid4. I have created a namespace to store my products, and each product carries metadata with some special parameters for each product. Building a RAG app with LlamaIndex is very simple. Return a Pinecone Index instance. As you might already know, all you need to do is set deleteAll: true in the Delete API. Private endpoints. Data freshness. List vector IDs However, many of us are trapped in workarounds because we can’t simply retrieve a list of IDs. Below is an example of how to construct an undici ProxyAgent that routes network traffic through a mitm proxy server while hitting Pinecone's /indexes endpoint. Deleting vectors by metadata filter. Pinecone vector store. Pinecone Index instance. However, the _delete method of the Pinecone. Each object also has metadata that links back to the parent document_id (also uuid4). Update data. 200. Is there any API or UI for pinecone to export &quot;all&quot; data? #1 I tried to The `Delete` operation deletes vectors, by id, from a single namespace . After adding, updating, or deleting records, use the describe_index_stats operation to check if the current record count matches the number of records you expect. Asking for help, clarification, or responding to other answers. x, check out the v1 Migration Guide. This page lists the catalog of public Pinecone datasets and shows you how to work with them using the Python pinecone-datasets library. Another +1 to this use case; we need to add/update/delete from a source of truth DB to pinecone, and we need to know everything in pinecone to do that. create_index If you would like to enable deletion protection, which prevents an index from being deleted, the configure_index method also handles that via an optional deletion_protection keyword argument. You might need to retrieve the ids of the documents you want to delete using a query with a filter, and then delete the documents using their ids. Please note that Pinecone I would like to ask for all Vectors that have a metadata filter of say: { “category”: “books” } Is this possible? Pinecone Community Fetch Vectors Based Only On Metadata Filters. Waiting for index creation to be complete and size. Reference Documentation; If you are upgrading from v0. Parameters. This metadata will be duplicated when chunking, embedding and inserting in the vector database. My Pinecone DB stores information from user-uploaded documents that are constantly being added, updated, and deleted. Note: The following strategy relies on Node's native fetch implementation, released in Node Additionally, whenever I query via other methods on the API (embeddings, other metadata), I still see these vectors in my pinecone database. The OpenAPI spec does not clearly define all accepted data types. We will delve into the differences between vector and Using LangChain and Pinecone to add knowledge to LLMs. However, note that projects in the gcp-starter region do not support deleting by metadata. In vector similarity search we build vector representations of some data (images, text, cooking recipes, etc), storing it in an index (a database for vectors), and then @sundi133,. Preparing DeleteManyByFilterOptions; Type alias DeleteManyByFilterOptions. List assistants for a project You can get the name, status, and metadata for each assistant in your project as in the following example: After upgrade of pinecone library to version 1 it should be coded as follows: const pineconeClient = new Pinecone({ apiKey: PINECONE_API_KEY, environment: PINECONE_ENVIRONMENT }) const index = pineconeClient. Restrictions on index names. To delete records based on their metadata, pass a metadata filter expression to the delete operation. Upserting won’t be enough because some pages of the Wiki might have been deleted in the meantime and they should +1 for this as a feature. Choosing a pod type and size. For serverless indexes, however, it is not possible to delete I made a workflow to insert a file (chunked) in a Pinecone database, with filename as metadata. (like metadata in the document being different and that being tracked by the LLM). (Both are free account) And there is 12,000 vectors at the index. Index class does not support filters. Metadata Filtering. 999% match In this section, we will explore two different approaches to storing the embeddings and metadata for performing the searches: The first is using the previous Documentation for Pinecone TypeScript SDK. It retrieves the IDs of the most similar records in the index, along with their similarity scores. A metadata filter in an ANN search effectively narrows the dataset to a more relevant subset, fine-tuning the search process. If you are blocked by these limitations, contact Pinecone Support. 7, pinecone-client==3. For this project I need to make maintenance of vectors, ie. According to their release, with serverless you are no longer able to delete vectors by metadata filtering, which is the primary way to delete using lla Documentation for Pinecone TypeScript SDK. In theory, you could create a simple Query Engine out of your vector_index object by calling vector_index. Note: The following strategy relies on Node's native fetch implementation, released in Node Bug Description Pinecone is forcing all free plans to migrate to serverless indexes. Since Pinecone records can always be efficiently accessed using their ID, deleting by ID is the most efficient way to remove specific records. If we can delete like this, why can we not query? We don’t need to worry about metadata cardinality this way. whatsapp. 1. If you don’t have a Pinecone account, the widget will sign you up for the free Starter plan. The listPaginated operation finds vectors based on an id prefix within a single namespace. ; Set embed. Delete an index. You need an API key to make calls to your assistant. delete(filter={"category": "example"}) # filter by metadata category Delete all vectors (clear the index): python. index_name (Optional[str]) – Name of the index to use. I see that query and fetch require an actual Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. In this blog post, we will walk through various methods to delete records in a Pinecone vector store using Python. You can attach metadata to vectors, such as tags or labels, which allows for more advanced filtering and querying. Copy code. Records can optionally include sparse and dense values when an index is used for hybrid search. Import data. Pinecone First video : https://www. Namespaces let you partition records within an index and are essential for implementing multitenancy when you need to isolate the data of each customer/user. js SDK · This is the official Node. How do I remove myself from an organization? Deleting Records by Filtering. Pinecone Record < T >: { Optional metadata?: T. Baisc usage, where I embed full post at once, works well: I can upsert data (using post_id as id) and I can query it using vector value. js, and search results from my Pinecone index suggest that I’ve somehow uploaded duplicate sets of embeddings: all my results are returning in identical pairs. Exporting indexes. files. Here are the various operators you can use: You can specify vectors to be deleted by their metadata values by passing a metadata filter expression to the delete operation. delete(delete_all=True) After deleting the vectors, you can re-upsert them with the appropriate metadata. For pod-based indexes, you can delete records by metadata by passing a metadata filter expression to the delete operation. features. Metadata fields or you could call them key:value pairs, are a way to add information to individual vectors to give them more meaning. Therefore, if you want to delete a specific PDF file, you will need a unique identifier (such as a filename) to pinecone_index. List record IDs. Pinecone Setup and Configuration. Thanks for reaching out on the Pinecone Community Forum. Create an index Delete an index. 0. Essentially, the more unique values you have for a given metadata key, the more space the internal metadata index has to consume. I hope this helps! If your network setup requires you to interact with Pinecone via a proxy, you can pass a custom ProxyAgent from the undici library. By explicitly excluding less relevant clusters from the outset, the search is performed among a group of records more closely related to the query, thereby increasing the efficiency and accuracy of the search. When updating metadata, only the specified metadata fields are modified, Metadata. What I would like to do is to be able to delete all chunks of the file if I want to (for instance before I insert a newer version of the file). In most cases, n number of vectors are generated from a single PDF file and stored as embeddings in Pinecone. Also i think it is important that we can query starts with with an array, so we can search through multiple vectors matching. Any metadata associated with this record. pool_threads (int) – Number of threads to use for index upsert. See Our guide to deleting data for more details on removing data from your index Hi @rd. This string can be any value and is useful when fetching or deleting by id. See I'm know adding the external document ID from whatever service we're using to the metadata of the extracted document. Now I would like to split my posts and to Supported metadata size and types. You cannot apply metadata filters to the list operation. Now when I search for metadata, I have the following problem: My search string looks like this: {“ The Filter Problem. I have actually tested it in my own starter plan environment and confirmed that it works. Pinecone serverless takes Async delete by vector ID or other criteria. ; Example code You can then use these tags as metadata when indexing your documents in Pinecone, allowing for more precise filtering during retrieval. This means that there’s 2. You can also use the from_existing_index method of LangChain’s PineconeVectorStore class to initialize a vector store. With pods, I could use delete and pass a metadata filter that specifies which document_ids I want to delete, and it would delete all objects associated with those If your network setup requires you to interact with Pinecone via a proxy, you can pass a custom ProxyAgent from the undici library. 5. ts:421; delete Collection. So you may need to experiment and adjust to something like 99. How to delete specific data from my pinecone index. configure-index-pod-type Configures the given index to have a pod type. delete Collection (collectionName): Promise < void > Delete a collection by collection name. If the metadata contains I guess adding metadata tags, query a high number of docs and filter as others has mentioned might be a straight forward way. ; Example code A common issue our customers experience is trying to filter on a non-indexed field while using Pinecone’s metadata filtering feature. intermac, apologies for the late reply!. It's the next generation of search, an API call away. This feature is available even on the starter plan. pinecone. Limit; Max upsert size: 2MB or 1000 records: Max metadata size per record: 40 KB: Max length for a record ID: 512 characters: Max dimensionality for dense Pinecone Node. If it is a StructuredQuery, it will be translated to a valid Pinecone filter and used for the Pinecone retriever. Indexes in upcoming Pinecone V4 won't support: namespaces; configure_index() delete by metadata; describe_index() with metadata filtering; metadata_config parameter to create_index() But wouldn’t that void the advice on using low-cardinality datatypes for metadata filters? High cardinality consumes more memory: Pinecone indexes metadata to allow for filtering. Pinecone Assistant supports 40KB of metadata per file. youtube. 0 In Pinecone, you could use metadata to associate users and roles with specific vectors, but this doesn’t satisfy the core architectural tenant of separation of concerns: For Also, in your deleteChatPinecone function, you're trying to delete documents from the Pinecone index using a filter. A list of record ids to delete from the index. In this article, we will provide a clear understanding of CRUD (Create, Read, Update, and Delete) operations in Pinecone from a traditional database perspective. Search or ask Sign Up Free; Log In; Sign Up Free. Metadata fields cannot be removed using the update operation. gbstg gfeb jlbl cuog fxxzd krth phaz vnf jqrl fuati