Vector Search Algorithms

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Scoured 66 posts in 8.1 ms

ColBERTSaR: Sparsified ColBERT Index via Product Quantization

 🔍Information Retrieval  Content type: Academic
arxiv.org·

RoachFest London 2026 Preview: AI Agents and an Astronaut Walk Into a Database Conference

 🌐Distributed Databases  Content type: Blog
cockroachlabs.com·

Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput

 📇Vector Indexing  Content type: Blog
elastic.co·

ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization

 🗂️Vector Indexes  Content type: Academic
arxiv.org·

How to Defend Against Prompt Injection in Production

 🔍Information Retrieval  Content type: Reference
leanpub.com··DEV

OpenTelemetry Events vs. New Relic Custom Events: Capabilities, Context, and the “Why”

 📌Embedding Retrieval
opentelemetry.io··DEV

Microsoft Build 2026: 5 top announcements every startup should know

 🔍Information Retrieval
microsoft.com·

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

 🔍Information Retrieval  Content type: Discussion

Kilo Claw: Still the Best Way to Claw

 📌Embedding Retrieval  Content type: News  Content type: Blog
blog.kilo.ai·

GoodQ02/goodq4all: Local-first multimodal epistemic memory for scene-level video, audio, and text intelligence.

 📦In-process Databases  Content type: Code
github.com··Hacker News

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval

 🎯Vector Search  Content type: Academic
arxiv.org·

Agentic Search Models with OpenSearch and Elasticsearch

 🔍Information Retrieval  Content type: Blog
bonsai.io··Hacker News

DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate

 📇Vector Indexing  Content type: Code
github.com··Hacker News

ANN Search: Recall What Matters

 📏ANN Benchmarks  Content type: Academic
arxiv.org·

Build Enterprise-Ready Agents with Microsoft IQ and Oracle AI Database@Azure — now with Oracle MCP

 🔍Information Retrieval

AIchain Skill: A Prompt as a Reusable Object

 🎯Vector Search  Content type: Code
github.com··DEV

Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval

 📌Embedding Retrieval  Content type: Academic
arxiv.org·

RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning

 📌Embedding Retrieval  Content type: Code

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

 🔍Information Retrieval  Content type: Academic
arxiv.org·

cwinvestments/memstack: Structured skill framework for Claude Code — 127 skills, localhost dashboard with 3-agent orchestration, real-time streaming, MCP tools management, session memory, and project handoffs via markdown-based skills

 🗄️Database Engines  Content type: Code
github.com·
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