Embedding Retrieval

Feeds to Scour
SubscribedAll
Scoured 105 posts in 9.4 ms

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 📇Vector Indexing  Content type: Blog
elastic.co·

Understanding HNSW: The Engine Behind Fast Vector Search

 🎯Vector Search
chimchim89.github.io·

miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity

 🔍Vector Search Algorithms  Content type: Academic
arxiv.org·

Quiz: Embeddings and Vector Databases With ChromaDB

 🎯Vector Search
realpython.com·

A Fun & Absurd Introduction to Vector Databases • Alexander Chatzizacharias

 🎯Vector Search  Content type: Video
youtu.be··r/programming

MongoDB as a Vector Database for AI Agents-MongoDB

 🗄️Databases
foojay.io·

a desktop GUI to browse, search, & visualize your vector databases

 🎯Vector Search
vectorlens.dev··Hacker News

HelixDB/helix-db: HelixDB is an OLTP graph-vector database built in Rust.

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

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

 🕸️Web Development  Content type: Discussion

Hashtag Jakarta EE #336

 🗄️Databases
agilejava.eu·

Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.

 🎯Vector Search  Content type: Blog
medium.com·

hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.

 🔍Search Indexing  Content type: Code
github.com··Hacker News

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🤖AI Agents  Content type: Blog  Content type: Discussion
tildalice.io·

3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-1

 🔍Information Retrieval  Content type: Blog
databricks.com·

The AI Agents Stack (2026 Edition)

 🤖AI Agents  Content type: Blog
oreilly.com·

Using protein language models for pangenome construction

 🎯Vector Search  Content type: Academic
biorxiv.org·

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 🤖AI Agents  Content type: Blog
towardsai.net·

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

 🎯Embedding Models  Content type: Code
github.com··DEV

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 📇Vector Indexing

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 🎯Vector Search  Content type: News
blocksandfiles.com·

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
Save / unsave
s

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