Embeddings Optimization

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How RAG Actually Finds Answers (Part 2): HNSW, IVF, BM25, Hybrid Search and Re-Ranking | M011 |…

 📇Vector Indexing
pub.towardsai.net
·

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

 🗜️Vector Compression  Content type: Academic
arxiv.org·

Rayforce

 🎯Qdrant  Content type: Code
Less-relevant results

Postgres 19 Beta 1 is here

 💾Databases
postgresweekly.com·

An ode to self-optimizing query plans

 🔍Percolator

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

 🎯Vector Search  Content type: Code
github.com··Hacker News

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

 🎯Vector Quantization  Content type: Academic
arxiv.org·

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

 🏗️Search Infrastructure  Content type: Blog
elastic.co·

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

 🎯Vector Search  Content type: Academic
arxiv.org·

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

 🆕New AI  Content type: News  Content type: Blog

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

 🔌Claude Plugins  Content type: Code
github.com··Hacker News

ColBERTSaR: Sparsified ColBERT Index via Product Quantization

 🎯Colbert  Content type: Academic
arxiv.org·

wallidsaydi-creator/hom-local: HOM Local — open-source local-first AI memory kernel

 🗂️Vector Indexes  Content type: Code
github.com··Hacker News

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

 🔄LLM RAG Pipelines
pub.towardsai.net
·

BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension

 🗜️Vector Compression  Content type: Academic
arxiv.org·

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