Vector Search Algorithms

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Scoured 67 posts in 40.8 ms

When More Cores Hurts: The Vector Database Scaling Paradox in HPC

 🎯Vector Search  Content type: Academic
arxiv.org·

I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback

 🎯Vector Search  Content type: Code
github.com··r/LocalLLaMA

Vector Space Hackathon 2026

 🎯Qdrant  Content type: Blog
qdrant.tech·

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

 📌Embedding Retrieval  Content type: Blog
pinecone.io·

Redis vs Memorystore: key differences in 2026

 🎯Vector Search  Content type: Blog
redis.io·

Best practices for building a modern app with vector search

 🏗️Search Infrastructure  Content type: Blog
elastic.co·
Less-relevant results

Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control

 🗃️New Databases  Content type: Blog
cockroachlabs.com·

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

 🕸️Sparse Vectors
pub.towardsai.net
·

The Clustering Strikes Back: Building Cost-Effective and High-Performance ANNS at Scale with Helmsman

 📊IVF Indexes  Content type: Academic
arxiv.org·

Agent Memory Database: Build It on TiDB with SQL and Python

 🎯Vector Search  Content type: Blog
pingcap.com·

How to Set Up Codebase Indexing in Kilo Code

 🎯Qdrant  Content type: News  Content type: Blog
blog.kilo.ai·

Pinecone-Powered Knowledge Infrastructure Helps Jenova's Agent Platform Quickly Reach $1M ARR and 200,000+ Signups

 📌Embedding Retrieval
pinecone.io·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🏗️Search Infrastructure  Content type: Blog
elastic.co·

Rayforce

 🎯Qdrant  Content type: Code

Efficient Graph Indexing for Interval-Aware Vector Search

 🎯Vector Search  Content type: Academic
arxiv.org·

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

 🎯Qdrant  Content type: Code
github.com··Hacker News

When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval

 🎯Vector Search  Content type: Academic
arxiv.org·

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

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

 🎯Vector Search  Content type: Academic
arxiv.org·

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

 🎯Vector Search  Content type: Academic
arxiv.org·

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