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  • [BUG] IntegTests are failing on KNNQueryBuilder filter () field
    Looking at the KNNQueryBuilder class, it doesn't have a filter(<argument>) method on it, but on its inner Builder class There is a filter field but it's only annotated with a @Getter so wouldn't accept an argument If this was a recent change I'd think it was the root cause but it seems to have been committed 3 months ago, but tests were passing 2 days ago so there's something else amiss
  • Indexing performance tuning - OpenSearch Documentation
    copy Disabling the _source field can cause certain features to become unavailable, such as the update, update_by_query, and reindex APIs and the ability to debug queries or aggregations by using the original document at index time In OpenSearch 2 15 or later, you can further improve indexing speed and reduce disk space by removing the vector field from the _recovery_source, as shown in the
  • Upgrade to opensearch 2. 17. 1 blocked because index. knn is set to false
    This looks like a bug on our side Will follow up with a GH issue Basically, before 2 17, an index could specify index knn=false and also a method or model_id in the mapping
  • API - OpenSearch documentation
    For each OpenSearch index with a knn_vector field and approximate k-NN turned on, this statistic provides the number of native library indices that OpenSearch index has and the total graph_memory_usage that the OpenSearch index is using, in kilobytes script_compilations: The number of times the k-NN script has been compiled
  • Expanding k-NN with Lucene approximate nearest neighbor search - OpenSearch
    OpenSearch pioneered k-nearest neighbor (k-NN) within search engines in 2019, and developers have adopted it enthusiastically on sets of millions or even billions of vectors which serves as a sort of index This allows the vectors to exist outside Java’s heap memory, reducing the memory load The Lucene library is written in Java, like
  • Exact k-NN with scoring script - OpenSearch documentation
    The k-NN plugin implements the OpenSearch score script plugin that you can use to find the exact k-nearest neighbors to a given query point Using the k-NN score script, you can apply a filter on an index before executing the nearest neighbor search you can set index knn to false and not set index knn space_type You can choose the space
  • API - OpenSearch Documentation
    For each OpenSearch index with a knn_vector field and approximate k-NN turned on, this statistic provides the number of native library indexes that OpenSearch index has and the total graph_memory_usage that the OpenSearch index is using, in kilobytes script_compilations: The number of times the k-NN script has been compiled
  • Hybrid search on nested fields - OpenSearch - OpenSearch
    Versions (relevant - OpenSearch Dashboard Server OS Browser): 2 19 1 Describe the issue: I followed the available documentation and created a knn index in which every record has a semantic field (of type text) that is properly processed during ingestion so that its content is chunked and used to generate vector embeddings The result is that each record has a multi valued field named “nested
  • k-NN multiple field search in OpenSearch
    I asked the question on StackOverflow too I think the query does combine approximate kNN with other features like the upcoming feature in ElasticSearch I would still appreciate it if you would let me know if I’m right or wrong or if this is the recommended way to do it in OpenSearch
  • A practical guide to selecting HNSW hyperparameters · OpenSearch
    Vector search plays a crucial role in many machine learning (ML) and data science pipelines In the context of large language models (LLMs), vector search powers retrieval-augmented generation (RAG), a technique that retrieves relevant content from a large document collection to improve LLM responses Because finding exact k-nearest neighbors (k-NN) is computationally expensive for large
  • Unexpected Document Retrieval in Hybrid Search: Beyond BM25 and kNN
    Versions (relevant - OpenSearch Dashboard Server OS Browser): 2 17 Describe the issue: I queried the index using BM25, KNN, and hybrid modes with weights set to bm25_weight=0 3 and knn_weight=0 7, and a size of 1 I assumed that the document retrieved in hybrid mode should be one of the documents returned by either the BM25 or KNN search, depending on the scores However, the document
  • k-NN API - OpenSearch Documentation
    For each OpenSearch index with a knn_vector field and approximate k-NN turned on, this statistic provides the number of native library indexes that OpenSearch index has and the total graph_memory_usage that the OpenSearch index is using, in kilobytes script_compilations: The number of times the k-NN script has been compiled
  • Is There a GitHub Issue Tracking the Upgrade to opensearch 2. 17. 1 . . .
    Versions (relevant - OpenSearch Dashboard Server OS Browser): OpenSearch: 2 17 1 Running in GKE Describe the issue: The issue discussed in this forum thread was automatically closed due to inactivity I wanted to check if there is a corresponding tracker bug for this on GitHub I couldn’t find one among the open issues and wanted to confirm Configuration: Relevant Logs or Screenshots:





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