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Query Vector

A query vector is not explicitly defined in the provided search results. However, based on general knowledge, a query vector can be understood as a numerical representation of a query or question, often used in information retrieval and natural language processing tasks.

In the context of the provided search results, query vectors are related to:

* Vector databases: Some papers discuss the use of vector databases for efficient querying, such as in the paper "ESPN: Memory-Efficient Multi-Vector Information Retrieval" (https://arxiv.org/abs/2312.05417v1), which proposes a memory-efficient multi-vector information retrieval system.
* Trueform: The trueform library (https://www.reddit.com/r/Python/comments/1rhgapn/) provides geometric types for vectorized spatial queries, including query vectors.

While the term "query vector" is not directly mentioned in the search results, it is related to concepts discussed in these papers.

Running on Titan Engine | Context: 8k Tokens | Layers: GPU

http://arxiv.org/abs/2602.17858v1

Multi-Attribute Group Fairness in $k$-NN Queries on Vector Databa...

We initiate the study of multi-attribute group fairness in $k$-nearest neighbor ($k$-NN) search over vector databases. Unlike prior work that optimizes efficiency or query filtering, fairness imposes ...

http://arxiv.org/abs/2512.17967v1

Memelang: An Axial Grammar for LLM-Generated Vector-Relational Qu...

Structured generation for LLM tool use highlights the value of compact DSL intermediate representations (IRs) that can be emitted directly and parsed deterministically. This paper introduces axial gra...

https://www.reddit.com/r/Python/comments/1rhgapn/trueform_v07_extends_numpy_arrays_with_geometric/

trueform v0.7: extends NumPy arrays with geometric types for vect...

v0.7 of [trueform](https://trueform.polydera.com) gives NumPy arrays geometric meaning. Wrap a `(3,)` array and it's a Point. `(2, 3)` is a Segment. `(N, 3)` is N points. Eight primitives (Point, Line...

https://yottaanswers.com

Show HN: Yottaanswers – get direct answers to queries from bill...

Points: 3 | Comments: 1 | Author: borapdx

http://arxiv.org/abs/2312.05417v1

ESPN: Memory-Efficient Multi-Vector Information Retrieval

Recent advances in large language models have demonstrated remarkable effectiveness in information retrieval (IR) tasks. While many neural IR systems encode queries and documents into single-vector re...

https://github.com/redis/redis

redis/redis

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. (⭐ 733...

http://arxiv.org/abs/2506.14084v1

Lightweight Relevance Grader in RAG

Retrieval-Augmented Generation (RAG) addresses limitations of large language models (LLMs) by leveraging a vector database to provide more accurate and up-to-date information. When a user submits a qu...

http://arxiv.org/abs/1504.02035v1

Set Membership with a Few Bit Probes

We consider the bit-probe complexity of the set membership problem, where a set S of size at most n from a universe of size m is to be represented as a short bit vector in order to answer membership q...

http://arxiv.org/abs/1612.09388v1

Set membership with non-adaptive bit probes

We consider the non-adaptive bit-probe complexity of the set membership problem, where a set S of size at most n from a universe of size m is to be represented as a short bit vector in order to answer...

http://arxiv.org/abs/2602.02827v1

Col-Bandit: Zero-Shot Query-Time Pruning for Late-Interaction Ret...

Multi-vector late-interaction retrievers such as ColBERT achieve state-of-the-art retrieval quality, but their query-time cost is dominated by exhaustively computing token-level MaxSim interactions fo...

http://arxiv.org/abs/2408.13899v1

$\boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Gra...

Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vast...

http://arxiv.org/abs/1912.09558v2

RIMAX: Ranking Semantic Rhymes by calculating Definition Similari...

This paper presents RIMAX, a new system for detecting semantic rhymes, using a Comprehensive Mexican Spanish Dictionary (DEM) and its Rhyming Dictionary (REM). We use the Vector Space Model to calcula...

http://arxiv.org/abs/1903.05454v1

Towards Accurate Camera Geopositioning by Image Matching

In this work, we present a camera geopositioning system based on matching a query image against a database with panoramic images. For matching, our system uses memory vectors aggregated from global im...

http://arxiv.org/abs/2303.16780v1

Thistle: A Vector Database in Rust

We present Thistle, a fully functional vector database. Thistle is an entry into the domain of latent knowledge use in answering search queries, an ongoing research topic at both start-ups and search ...

http://arxiv.org/abs/2601.01291v3

Curator: Efficient Vector Search with Low-Selectivity Filters

Embedding-based dense retrieval has become the cornerstone of many critical applications, where approximate nearest neighbor search (ANNS) queries are often combined with filters on labels such as dat...