Feeds to Scour
SubscribedAll
Scoured 23852 posts in 95.6 ms
Free vector search API with built-in multilingual embeddings  🧮Vector Embeddings
fluxvector.dev·2d·Hacker News·
Multi-Vector Search with Amélie Chatelain and Antoine Chaffin  🗂️Vector Databases
connorshorten300.medium.com·3d·
SRAG: RAG with Structured Data Improves Vector Retrieval  📊Multi-vector RAG
arxiv.org·2d·
Show HN: TurboQuant for vector search  🗂️Vector Databases
github.com·4d·Hacker News·
Ask HN: What do you use for local embeddings?  💻Local LLMs
news.ycombinator.com·2d·Hacker News·
New Google TurboQuant algorithm improves vector search speed  🌳Trie Structures
searchengineland.com·3d·
Semantic search in Rails using SQLite-vec, Kamal and Docker  🌀Brotli Internals
marianposaceanu.com·3d·Hacker News·
A C# vector database using TurboQuant from Google Research  🗂️Vector Databases
turboquant.relatude.com·3d·Hacker News·
DaiSy: A Library for Scalable Data Series Similarity Search  🗂️Vector Databases
arxiv.org·2d·
NeedleDB: A Generative-AI Based System for Accurate and Efficient Image Retrieval using Complex Natural Language Queries  🗂️Vector Databases
arxiv.org·2d·
Show HN: PyNear – exact and approximate KNN, faster than Faiss  🚀SIMD Text Processing
news.ycombinator.com·4d·Hacker News·
Resolving the Robustness-Precision Trade-off in Financial RAG through Hybrid Document-Routed Retrieval  📊Multi-vector RAG
arxiv.org·2d·
Hierarchical Tensor Network Structure Search for High-Dimensional Data  🕸️Tensor Networks
arxiv.org·2d·
Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings  🧮Vector Embeddings
arxiv.org·2d·
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection  📊Learned Metrics
arxiv.org·2d·
PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees  🔍MinHash Variants
arxiv.org·6d·
Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods  🧮Vector Embeddings
arxiv.org·3d·
TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search  📏Range Queries
arxiv.org·6d·
GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation  🔍Information Retrieval
arxiv.org·6d·
CLIP-RD: Relational Distillation for Efficient CLIP Knowledge Distillation  📊Multi-vector RAG
arxiv.org·6d·

Keyboard Shortcuts

Navigation
Next / previous item
j/k
Open post
oorEnter
Preview post
v
Post Actions
Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Recommendations
Add interest / feed
Enter
Not interested
x
Go to
Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/
General
Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help