Vector Search

🎯 Vector Search

Embeddings, Similarity Search, Approximate Nearest Neighbors, Semantic Matching

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Scoured 142 posts in 21.5 ms

How to Set Up Codebase Indexing in Kilo Code

 📌Embedding Retrieval  Content type: News  Content type: Blog
blog.kilo.ai·

Best practices for building a modern app with vector search

 📌Embedding Retrieval  Content type: Blog
elastic.co·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 📇Vector Indexing  Content type: Blog
pingcap.com·

Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...

 📏ANN Benchmarks  Content type: Discussion
news.ycombinator.com··Hacker News

Most AI code reviewers are just expensive diff readers.

 📏ANN Benchmarks  Content type: Code
github.com··r/SideProject

An ode to self-optimizing query plans

 🔍Search Indexing
jpountz.github.io··Lobsters

10 MCP servers to connect LLMs with databases

 🔎Inverted Index
infoworld.com·

Hashtag Jakarta EE #336

 📇Vector Indexing
agilejava.eu·

Knowledge Graphs for AI Coding Assistants

 📌Embedding Retrieval
graphify.net·

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

 📇Vector Indexing  Content type: Academic
arxiv.org·

Redis for Agent Memory

 📌Embedding Retrieval  Content type: Blog
rephrase-it.com·

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 📌Embedding Retrieval  Content type: News
blocksandfiles.com·

Build a 'Brain' for Your AI: How to Create a Knowledge Base Chatbot Using Vector Databases

 📇Vector Indexing  Content type: Blog
medium.com
·

Show HN: Lore – LLM proxy for coding agent context and memory management

 🔍Information Retrieval
withlore.ai··Hacker News

Using protein language models for pangenome construction

 📇Vector Indexing  Content type: Academic
biorxiv.org·

The AI Agents Stack (2026 Edition)

 📌Embedding Retrieval  Content type: Blog
oreilly.com·

Who Asked for an AI Art Museum?

 📏ANN Benchmarks
hyperallergic.com·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🔎Inverted Index  Content type: Blog
elastic.co·

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 📌Embedding Retrieval
tenureai.dev··Hacker News, Hacker News

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

 📌Embedding Retrieval  Content type: Code
github.com··r/sideprojects

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