🎯 Qdrant - emschwartz · Scour

Embeddings & Vector Search 🎯Vector Search

taoofmac.com·5d

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🐘pgvector

thebuild.com·4h

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 📉Embeddings Optimization

qdrant/fastembed: Fast, Accurate, Lightweight Python library to make State of the Art Embedding 🎨ChromaDB

github.com·2d·Hacker News

Building Vector Search? Why FAISS Alone Isn’t Enough 🔍FAISS

pub.towardsai.net

·2d

Vector Database 📊Vector Databases

newsletter.systemdesign.one

·5d

HNSW Explained: The Algorithm Powering Fast Vector Search 🗂️Vector Indexes

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 🎯Vector Quantization

pgvector vs Pinecone: You Probably Don't Need a Separate Vector Database 🐘pgvector

Icemap/duckdb-vector-index: A DuckDB extension providing HNSW, IVF, DiskANN, and SPANN vector indexes with FLAT, RaBitQ, PQ, and ScaNN quantizers for approximate nearest-neighbor search on ARRAY columns. 🗂️Vector Indexes

github.com·1d·Hacker News

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering 🎯Retrieval Systems

FerresDB is now open-source – A high-performance vector database 🚀LanceDB

github.com·3d·Hacker News

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models 🎯Embedding Models

Hybrid Search for RAG: BM25 + Vectors (When Each Wins) 🔗Hybrid Search

pub.towardsai.net

·5d

TurboQuant: A First-Principles Walkthrough 🔬RaBitQ

taoofmac.com·3d

Improving Robustness of Tabular Retrieval via Representational Stability 🔍Information Retrieval

nambok/mentedb: A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks. 🏗️LLM Infrastructure

github.com·6d·Hacker News

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling 🎨Chroma

Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask 🔍Vector Search Algorithms

Aligning Dense Retrievers with LLM Utility via DistillationAligning Dense Retrievers with LLM Utility via Distillation 🕸️Sparse Embeddings

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