60 stories tagged with #vector, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
⌘ RSS feed for this tag → or search "Vector"
How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes
Architecting cost-effective infrastructure by navigating the latency and storage trade-offs of HNSW, SPANN, and DiskANN…
Best intake/exhaust setup for Vector V100R + top 360mm AIO?
I Built a Vector Search Engine from Scratch — Here's What I Learned
I Built a Vector Search Engine from Scratch — Here's What I Learned Implementing HNSW...…
Getting Started with Vector Databases Using Amazon Aurora PostgreSQL + pgvector
Hello! I'm Satoshi Kaneyasu, DevOps engineer at Serverworks. In this article, I'll introduce the...…
California neighborhood on alert after bat found near sidewalk tests positive for rabies virus
A bat found near a California neighborhood tested positive for rabies, prompting health officials to urge residents to avoid contact with wildlife.…
Vectorscan
A portable fork of the high-performance regular expression matching library - VectorCamp/vectorscan…
Lian Li Vector V100 query.
Why do the output layer weights become word vectors in Word2Vec? [D]
Comparing Vector search libraries
A disk-first C++ vector engine
Are Vector Databases Enough for Modern AI Workloads? Y/N
Vector Lakebase: a unified, lake-native data foundation for AI workloads — and an answer to what happens after vector databases succeed.…
Vector Search at Scale: Why Your Index Isn't as Healthy as You Think
Vector search has become load-bearing infrastructure in modern AI systems remarkably fast. A year or...…
Barycentric Simplicial Hashing: ANN Search at 38 bytes/vector (90% Recall)
We present Barycentric Simplicial Hashing (BSH), a data-dependent binary indexing method for approximate nearest neighbor (ANN) search that uses the local triangulation of a vector…
is the lian li vector v100 argb mid tower a good case for this build?
Anyone who has been involved with Launch Vector tell me more about your experience with their process?
Barycentric Simplicial Hashing: ANN Search at 38 bytes/vector (90% Recall)
Astrum Verum – A Vector Symbolic cognitive memory that beats RAG
Composition-episodic cognitive memory for AI agents (VSA + lattice geometry) - vitaliyfedotovpro-art/astrum-verum…
Show HN: SynapCores – AI-native database (vector, graph, SQL, AutoML, LLM)
SQL + Cypher + vectors + LLM in one engine. Free Community Edition, single binary, no waitlist.…
SQLite-Vector now with Google TurboQuant for a 38x speedup
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database. - sqliteai/sqlite-vector…
Intel: Advanced Vector Extensions 10.2 [pdf]
AI-Native Database: Scalable Performance, Autonomous Tuning & Vector Search
Modern applications generate massive amounts of data every second. Traditional database systems struggle to keep pace with these demands. Performance…
AI-Native Database SynapCores vs pgvector
Target Audience: Executives, Technical Decision Makers, Solutions Architects…
AI-Native Database Vector Database - User Documentation
Document Date: September 1st, 2025 Version: 1.0 (Public) Status: Production Ready…
Weaponized - Vector Hound - Quit my job to build a vector graphics engine that can output simultaneously to a screen AND an oscilloscope
CanLover – Can Bus Analyzer for Vector/Peak/Kvaser on Windows and Linux
A modern, lightweight CAN bus analyzer for Linux and Windows. The free alternative to Vector CANalyzer and PEAK PCAN-View — native SocketCAN, DBC/SYM decoding, J1939, Signal Plot, …
Rust/Wasm node-based graphics editor Graphite - May 2026 update highlights (vector blending, gradient overhaul, draggable panels, 500+ more changes)
Hershey is a textual vector font format
By Devine Lu Linvega…
Memory for Agents: When Vectors Meet Graphs, Bugs Drop 4
When the autonomous customer‑support bot at Acme Corp crashed after 2 hours, the logs showed a 92 %...…
Your AI agents need a terminal, not just a vector database
Christophe Pettus: pgvector 0.8.2 and the Trouble With Parallel HNSW
pgvector 0.8.2 fixes CVE-2026-3172, a heap buffer overflow in parallel HNSW index builds that can leak data or crash the server.…
Graph RAG vs Vector RAG: When to Use Each
An architecture-focused comparison of Graph RAG and vector RAG: chunking, storage, retrieval behavior, trade-offs, and hybrid search patterns.…
Preconditioning Vectors: Making Elasticsearch VectorDB BBQ Work for Every Vector
Learn when to use vector preconditioning to improve recall for Better Binary Quantization (BBQ) in Elasticsearch…
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks through demonstrations, yet it suffers from escalating inference costs as context length increas…
Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
We study the effect of different persona on \textbf{sycophancy}: model's agreement with users even when the user is incorrect. The standard mitigation, Contrastive Activation Addit…
How to build a production RAG pipeline in Python (without a vector database)
Everyone reaching for a vector database when building RAG is solving the wrong problem first. For...…
Just built a privacy first vector search for browsers using wasm/rust. Would love to hear the communities opinion on this.
Chat With Your Documents Using Garudust Agent — No Vector Database Required
Most RAG tutorials start the same way: "First, install a vector database…" Then come the embedding...…
Nx Console VS Code extension was the initial access vector in the GitHub breach
GitHub’s report today confirms that the compromised Nx Console extension was used as the initial access vector in this attack. This is a difficult thing to read as the CEO of Nx, …
The Powerful MSI Vector 16" RTX 5070 Ti Gaming Laptop Drops to $1399 for Memorial Day
I haven't seen this kind of pricing since Black Friday.…
Scalable Packed Layouts for Vector-Length-Agnostic ML Code Generation
Scalable vector instruction sets such as Arm SVE enable vector-length-agnostic (VLA) execution, allowing a single implementation to adapt across hardware with different vector leng…
AionDB: a Rust database for Graph RAG with SQL, graph, and vector search in one engine
Neuroepithelial Tumor with AAV Integration after Intracisternal Magna Vector Delivery | New England Journal of Medicine
Score Any CVSS Vector Offline - v3.1 and v4.0, Zero Dependencies
A 4 KB JavaScript library that parses and scores CVSS vectors with no network calls, no build step,...…
Most AI agent papers stack one LLM with a vector store, we flipped it
Barron AI Solutions — A small AI-run software company. We build, host, and answer the email.…
Echoform – unlimited LLM memory via a single 64 KB hypervector
Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate. - OpenAgentic-Labs/echoform-ghost-memory…
The Librarian – 7.1M-node knowledge graph beats vector search
Contribute to jeujai/Librarian development by creating an account on GitHub.…
Sol : A new rust opentelemetry based agent (Datadog Vector fork)
How to Evaluate Vector Databases in 2026
In 2026, a synthetic performance crisis challenges the vector database market. A GitHub search for...…
Building True Vector PDF Export in the Browser with fabric.js
Building True Vector PDF Export in the Browser with fabric.js https://yft.design/...…
Building Hybrid Semantic Search in ASP.NET Core — SQL Vector, Azure AI Search, and the Bugs Between Them
Part 2 of building a public AI learning series on top of an existing Bulky MVC bookstore. Code is...…
Show HN: Vecdb – local-first hybrid vector database in Rust (HNSW and BM25)
Local-first hybrid vector database. HNSW + BM25 + fusion search. Single binary, no cloud. - zaydmulani09/vecdb…
$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
Concept Activation Vectors (CAVs) are a fundamental tool for concept-based explainability in deep learning, yet their practical utility is limited by statistical instability. We an…
Bridging Silicon and the Hippocampus: Algebro-Deterministic Memory "VaCoAl" as a Substrate for Vector-HaSH and TEM
Vector-HaSH and the Tolman-Eichenbaum Machine (TEM) propose that the hippocampal-entorhinal circuit factorizes content from a prestructured grid-cell scaffold and supports composit…
PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
For a Gaussian source under mean-squared error (MSE), classical transform coding is rate--distortion (RD) optimal: the Karhunen--Loeve transform (KLT) diagonalizes the covariance, …
RAG- Understanding of Embedding
What is Embedding? After text is split into chunks, the next process is called embedding....…
Data Analysis with Vector Functional Programming (2016) [video]
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.…
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production
We built a memory-powered AI sales agent using Hindsight and cascadeflow
Every sales rep has the same problem. They jump on a call with a prospect they spoke to 3 weeks ago...…
Scalar and Binary Quantization for Pgvector Vector Search and Storage (2024)
Quantization can reduce vector sizes, but how does it impact query performance and quality?…
I built a vector embedding cache that makes stale hits structurally impossible
Wrote up the design behind embcache, a GPU-native two-tier cache for embeddings and KV states. The...…