Vector Indexes

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Rayforce

 📌Embedding Retrieval  Content type: Code
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TryHackMe LockdownAI — Auditing a RAG Assistant for Three Hidden Vulnerabilities

 🎯Vector Search  Content type: Blog
medium.com·

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

 🎯Vector Search  Content type: Academic
arxiv.org·

I wondered how big platforms detect stolen images. So I built the whole system myself.

 📌Embedding Retrieval  Content type: Code

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

 🔍Search Indexing  Content type: Blog
elastic.co·

ANN Search: Recall What Matters

 📏ANN Benchmarks  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

ColBERTSaR: Sparsified ColBERT Index via Product Quantization

 🔎Inverted Index  Content type: Academic
arxiv.org·

Start Up No.2679: Meta loads facial recognition into smart glasses, the AI tell, let us filter slop!, Bluesky dreams of Reddit, and more

 🎯Vector Search  Content type: Blog
theoverspill.blog·

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

 🧊Iceberg  Content type: Academic
arxiv.org·

Release 2.1.6 · dolthub/dolt

 🎯Vector Search  Content type: Code
github.com·

BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension

 📉Embeddings Optimization  Content type: Academic
arxiv.org·

Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

 📌Embedding Retrieval  Content type: Academic
arxiv.org·

Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval

 🔍Information Retrieval  Content type: Academic
arxiv.org·

luckyrmp/tinderbox-archive: Personal claude.ai conversation archive: schema, ingest, embeddings, hybrid retrieval, MCP server

 📌Embedding Retrieval  Content type: Code
github.com··Hacker News

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