Weaviate where filter. {. Additional information To delete objects, you must provide the collection name as well as identifying criteria (e. Sep 19, 2023 · Before starting Weaviate on Docker, ensure that the Docker Compose file is named exactly docker-compose. Apr 11, 2023 · One of the low hanging fruit strategies to improve search quality are ranking models. Here’s an example: where_filter = { 'operator': 'ContainsAny' Jun 13, 2023 · Is it possible to nest ANDs and ORs in where filters? I would like to fetch documents where wordCount is between 20 and 500 and myId is in a given list, e. - Releases · weaviate/weaviate. Jun 16, 2023 · The notebooks and dataset are in this github repo. It will: Create a collection if an object is added to a non-existent collection. Weaviate is an open source vector database that stores both objects and vectors. Here, we will expand on the nearText queries that you may have seen in the Quickstart tutorial to show you different query types, filters and metrics that can be used. September 27, 2023. It supports modules such as creating embeddings or generating responses via OpenAI, and is accessible through GraphQL, REST, and various language clients. Let me know if you need any further information and thank you in advance. More specifically, Weaviate uses vector search and similarity algorithms to classify data objects with other data objects. auth_config = weaviate. Filter query looks like (datetime >= X) AND (datetime < Y). Here is a python example with the new Python client: Jun 14, 2023 · We wanted something similar with PostgreSQL where one can combine group by with having clause. Even after filtering , the user is able to access other Nov 1, 2022 · For more information on how to filter by the property length, check out the documentation. Depending on your Weaviate setup (which modules you have connected), additional filters may be used. So each user will be a tenant and can be added to the class, but with the data isolated from each other. Replication enables you to set up your Weaviate environment in a cluster with multiple server nodes. The main class, GraphQLFilter, allows you to create complex filters by adding conditions and operands, and then retrieve the final filter object. Weaviate will check all previously written segments, starting with the most recent, if not present in the memtable. in docker-compose. Distributed Backups . You will have to convert them. auth. 0. I am currently facing a performance issue while attempting to extract documents from a “Class” in my Weaviate local instance. Jan 30, 2023 · Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. On the other hand, the demo schema mentioned above is an unusual schema - in comparison to most other schemas we've seen so far. Then, you can start up with the whole setup by running: 1. This is a big update, as reflected by the bump in the major version number. Weaviate allows object deletion by id or by a set of criteria. You can add filters on class level to filter objects. You can use these to reduce complex chains of And or Or where filters to simple, digestible, queries that are easier on your eye and your brain. Trying to constraint the search in case of similarity_score_threshold ignoring the where_filter filters in the langchain Weaviate wrapper. For example, if a Weaviate node goes down, another node can shoulder the Jan 30, 2020 · To filter out objects in Weaviate you have to use the "where" filter. Use Cases This enables a variety of use cases. 3 min read · Apr 20, 2021 Etienne Dilocker May 5, 2022 · I have a Weaviate instance running (ver 1. Internally, Weaviate performs a nearVector search (which you can also perform manually with Mar 7, 2023 · We have added where filters to BM25 and hybrid search! The implementation is the same as how you would add a filter to any other search operator. PQ + Re-scoring – Product quantization (PQ) allows for faster vector search - now at 1. 22 Release | Weaviate - Vector Database Weaviate 1. I use the Where filter to search through the text by using the inverted A batch request will always return an HTTP 200 status code when the batch request was successful. 6 days ago · Source code for langchain_community. Bloom filters prevent examining segments that do not contain the requested objects. There were no issues with the connection or processing of the batch. Purpose-built platform for a new breed of software applications. - Home · weaviate/weaviate Wiki. 197. Store and retrieve data objects and vector embeddings. retrievers import BaseRetriever A community user reported that when attempting to filter on a text array property, the client seems to treat the valueText input as a string, rather than an array. rc1 weavite: 1. object id or filters). One case is the project was already built, and now we're adding vector-search. The current behavior is expected because: The query is asking for an object that fulfils two conditions: Has an outgoing ref to a car with make Saturn, and. Sep 10, 2023 · I am using weaviate-python client , langchain (RetrievalQAWithSourcesChain). io – 23 Oct 23 Weaviate 1. AuthApiKey(api_key="YOUR-WEAVIATE-API-KEY") # Replace w/ your Weaviate instance API key. An example of adding a filter to your hybrid search looks like this: Aug 23, 2023 · # Use a filter to only retrieve documents from a specific user weaviate. Next to the vector indexes that are created and powers the semantic search capability, there is also the inverted index. Resource requirements are amplified in multi-shard Sep 20, 2023 · Is there a limit on objects in the filter cache or am I missing something? There are about 50000 entries in the database, most of them in the same location (60%) which is also the problematic location. Weaviate has a built-in module for OpenAI, which takes care of the steps required to generate a vector embedding for your queries and any CRUD operations. Installation. batch. Aug 31, 2023 · Weaviate Filter. I have a class “KnowledgePieceChunk” where I want to store objects that contain text chunks that belong to one “KnowledgePiece” (the knowledge piece is going to be stored in a different database, I only want to store the chunks in Weaviate to do perform a search Aug 28, 2023 · Issue in Langchain Weaviate Wrapper. A filter can look like (using the qna-transformers module): Mar 8, 2023 · As of now querying weaviate is not very configurable. Sep 25, 2019 · Parse where filters in REST support flat filters for one operator; for all operators (except geo) for one datatype; for all primitive datatypes; for geoprops; support nested filters; validate combinations (and/or and values, etc) add to classifications uc for all three cases; validate that only filters are set which work for the specific type Nov 27, 2022 · Using Weaviate for just the ML stuff (vectors, summary, question-answering, etc). 18. Nov 25, 2021 · Within Weaviate you can also mix scalar search filters with vector search filters. The way this combination should work is that where limits the search space, then nearVector performs the vector search. documents import Document from langchain_core. This issue was made of up of two cascading issues. Weaviate will automatically replicate data across nodes in the background. To begin using filters with BM25 and hybrid, simply upgrade your Weaviate instance to 1. Thanks! Mar 20, 2023 · Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. 7 code to reproduce the bug import weaviate from weaviate. Weaviate 1. LangChain connects to Weaviate via the weaviate-ts-client package, the official Typescript client for Weaviate. This allows for combining vector search with structured filtering. retrievers. jonas. PS: Weaviate is great! Jun 6, 2023 · When I filter from Article on {path: ["hasMetadata","Metadata","article_name"], valueBoolean: true, operator: IsNull} it yields empty results whereas if I filter it directly on the Metadata class it gives me some results. The weaviate-filter package provides a convenient way to build GraphQL filters for Weaviate. For example, given this property . pydantic_v1 import root_validator from langchain_core. Aug 7, 2023 · Hi @khoa-cdp ! Welcome to our community 🤗 Indeed, there seems to have something going on here. Weaviate's zero-shot classification measures how similar (how close) a data item is to a potential target item (a class or label). - Issues · weaviate/weaviate. However, multi tenancy is not yet supported in Langchain. The workaround, for now, is to call the raw method and query it directly, like so: get_articles_where = ''' { Get Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering. 1, 2, 3. collections. Sep 11, 2023 · Hi @ananthan-123 ! Welcome to our community 🤗 This is a great use case for the new multi tenant feature in Weaviate. The mixed structured vector searches in Weaviate are pre-filter. Filter by GeoCoordinates reduces search quality drastically. The request was not malformed ( 4xx status code). 21 adds ContainsAny and ContainsAll operators to make your filters (syntactically) sweeter than ever. Oct 2, 2023 · 51. In Weaviate 1. 16, which brings a set of great features, performance and UX improvements, and fixes. Feb 5, 2020 · Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. LangChain inserts vectors directly to Weaviate, and queries Weaviate for the nearest The "Auto-schema" feature generates a collection definition automatically by inferring parameters from data being added. This allows you to run a vector query with the with_near_text filter, which uses your OPEN_API_KEY. With inverted indexes, contents or This mean you can not search by this blob field in a Weaviate GraphQL where filter, and there is no valueBlob field accordingly. Here are the ⭐️ highlights ⭐️: Multi-tenancy – A scalable, efficient and easy solution for use-cases with many tenants per Weaviate cluster. Scalar (where filters) can be combined with vector (near<>) filters. In the next ~20 minutes, you will: Build a Weaviate vector database, and. Apr 7, 2021 · The Weaviate Python Client is a python package that allows you to connect and interact with a Weaviate instance. where_filter implementation is missing for similarity_score_threshold. May 2, 2023 · I try to filter document by the specific date range and requests contains such filter conditions are extremely slow taking over 1 second regardless query documents limit. To install the weaviate-filter package, you can use pip: pip install Query filters (search arguments) dependent on database setup. The brief If you like your content brief and to the point, here is the TL;DR of this release: New Filter Operators – that allow you to filter data based on null values or array lengths Aug 31, 2023 · Hi @Mick_Cunningham ! Welcome to our community 🤗 You will have to convert them. Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. Creating one class Jun 27, 2023 · Let Weaviate handle vector embeddings. In the specific case, we want to conduct a semantic search query through all the paragraphs of articles about the saxophone player Michael Brecker. This tutorial is intended to be a hands-on introduction to Weaviate. # Instantiate the client with the auth config. from __future__ import annotations from typing import Any, Dict, List, Optional, cast from uuid import uuid4 from langchain_core. To authenticate against Weaviate using an API key, instantiate the client as follows: import weaviate. Start Free Documentation. First I tried to create a single class “Data” which has properties “content” and “source” , then user will be ble to filter the data using the “source” property. Also, you will need to change the datatype to a date one: Let me know if this helps. Are there any methods to speed-up such queries? Details: I run Weaviate on a regular consumer desktop. Support. On the on hand #1004 - which has been fixed separately. filters import Filter from base_dependencies import load_config client = weaviate. I have started a PR and Issue here for that: With that said, filtering is a possible solution. Both objects fulfil these criteria, so the results should be both objects, not just the second. In this section, we will explore different queries that you can perform with Weaviate. wascheroh September 6, 2023, 3:45pm 1. 12. The workaround, for now, is to call the raw method and query it directly, like so: get_articles_where = '''. The issue is with similarity_search_with_score function. But this method has a problem. The specific queries above are taken from this notebook. Broadly speaking, ranking models describe taking the query and each candidate document, one-by-one, as input to predict relevance. This indicates that: The batch was successfully sent to Weaviate. has an outgoing ref to a car with model Imprezza. Inverted index The inverted index is essentially what powers all the GraphQL where filters, where vectors or semantics are needed to find results. yml) by setting AUTOSCHEMA_ENABLED: 'false'. 20 is here! As always, a brand-new release means a set of brand-new features. Nov 29, 2023 · Filters | Weaviate - Vector Database Filters let you include, or exclude, particular objects from your result set based on provided conditions. SELECT player_code FROM public. Weaviate will understand your data as string, and will not be able to compare it with a date. Seems like the queryBuilder is not producing the expected graphql and messing the double quotes. even with filters. 16. Specifically, I would like to retrieve all documents where the field “X” equals a specific value. classes. January 30, 2024. yml and that you are in the same folder as the Docker Compose file. Oct 10, 2023 · In the docs, you show that the ID is returned upon deletes for objects if the output is of type verbose result = ( client. 1. 2). NotEqual filter and with_near_vector don’t seem to be playing nice together. 15, we introduced backup functionality, which allows you to back up and restore your Weaviate schema and data (to local storage or a cloud provider, like GCS or AWS S3) with a single command. - weaviate/weaviate Aug 30, 2023 · Hi @Mick_Cunningham!Welcome to our community . However, it makes no sense to compare and combine nested filters of multiple Weaviate instances, because they come from different sources and are queried seperately in the next GraphQL query layer. I am self hosting and I am on the latest version. nearImage{} in the img2vec-neural filter). delete_objects( class_name='EphemeralObject', # Same `where` filter as … Jan 28, 2021 · Because Weaviate has a graph-like data model, people often ask questions about how Weaviate deals with taxonomies, ontologies, and schemas. Hi, there: (Posted this on Slack as well) I am amble to filter a query based on geoCoordinates through a WHERE clause, but I can’t find a way to sort or OrderBy by a geoCoordinates field. Take a look here: https: Added in Weaviate Python client version 3. aggregate import GroupByAggregate For more specific results, use a filter to narrow your search. g. Aug 8, 2023 · Hi community, I would like to use a hybrid metric (sparse+dense) to compute similarity between 2 sentences, but struggles with using the hybrid search of Weaviate. classes. Wherever the filters (say, faceted search page) are already in place; no need to replicate the schema/filter system over to Weaviate. Learn more. On the next call, Weaviate retrieves 40 objects and drops the first 30. $ docker compose up -d. Sorted by: 1. Following the official documentation, I have implemented a “with_where” filter in my code as Feb 1, 2024 · The v4 Weaviate Python client library has landed in GA (general availability) form. connect_to_custom( http_host=load_config("weaviate")["host"], http_port=load_config("weaviate")["http_port Mar 15, 2022 · Weaviate will first examine the Memtable for the most recent update for a specific object when receiving a read request. from weaviate. Example: The dataType blob can be used as property dataType in the data schema as follows: Nov 30, 2022 · 1 Answer. Overview. It is enabled by default, and can be disabled (e. Weaviate allows you to store and retrieve data objects based on their semantic properties by indexing them with vectors. Depending on the module, this field can be used in module-specific filters (e. . generative searches to transform your search results with a Oct 6, 2019 · Detailed Analysis. The AI-Native Vector Database. Running into this issue where I need to pre-filter before the search vectorstore = Weaviate(client, CLASS_NAME, PAGE_CONTENT_FIELD, [METADATA_FIELDS]) But there is no way to extend th Weaviate 1. The v4 client has a brand new API that is more powerful and easier to use 🎉🥳. weaviate_hybrid_search. 23. It still includes the existing ( v3) API for now, so you can continue to use it without any changes. config import Property, DataType, ReferenceProperty from weaviate. We might need to dig deep into this. 22 released with nest object storage, async indexing, further gRPC support, and more! Sep 6, 2023 · Filter by property in array. Aug 4, 2023 · Indeed, there seems to have something going on here. Python (v4) Python (v3) JavaScript Jul 11, 2023 · Developer Advocate. Is it possible to compute the similarity between 2 sentences only using where_filter and with_hybrid ? When I do this: code_content = "CNT16421" clean_user_def_mem_recall ="La biodiversité, c'est l'ensemble des espèces vivantes Dec 12, 2018 · In the path it should be specified to which Weaviate instance the filter operation should be applied to. For example, if your offset and limit specify results from 21-30, Weaviate retrieves 30 objects and drops the first 20. Sep 6, 2023 · I have a class “KnowledgePieceChunk” where I want to store objects that contain text chunks that belong to one “KnowledgePiece” (the knowledge piece is going to be stored in a different database, I only want to store the chunks in Weaviate to do perform a search). 14. similarity_search ( query = 'example query', where_filter = {'user_id': '1234'} ) Please note that the actual implementation of the filtering based on metadata is not provided in the given context. callbacks import CallbackManagerForRetrieverRun from langchain_core. 17 release introduces replication. Jan 16, 2024 · weaviate. Jan 29, 2024 · client: python client 4. Seamlessly connect to your favorite ML models. Weaviate in a nutshell: Weaviate is an open source vector database. Query it with: semantic search, an added filter and. And build intuitive, reliable AI applications that scale. Each image has some text attached to it. We are happy to announce the release of Weaviate 1. These operators allow you to filter an array property, using a query array. Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering and CRUD operations. Has anyone gotten this working. For example, I want to find players with duplicate player_code. Weaviate uses two types of data indexing. This is different from vector and lexical search where representations are computed offline and indexed for speed. In SQL I would use the following WHERE clause: WHERE wordCount >= 20 AND wordCount <= 500 AND myId IN (1, 2, 3) Dec 20, 2022 · Weaviate's v1. The python client is NOT a Weaviate instance but you can use it to create one on the Weaviate Cloud Service. There is an inverted index which is queried first to basically form an allow-list, in the HNSW search the allow list is then used to treat non-allowed doc ids only as nodes to follow connections, but not to add to the result set. It provides API for importing data, creating schemas, do classification, query data, . Sep 7, 2023 · I think weaviate client is not parsing array values correctly when dealing with where filters. Welcome to the Quickstart guide for Weaviate, an open-source vector database. Weaviate is an open source, AI-native vector database that helps developers create intuitive and reliable AI-powered applications. This looks like a weaviate-python-client issue. Jun 21, 2023 · Hello Weaviate Forum Team, I hope this message finds you well. The -d option runs containers in detached mode. 4. player GROUP BY player_code HAVING COUNT(player_code) > 1; As the offset grows, each additional page request requires a new, larger call against your collection. vp to be yz wf ec vp xz ha ep