Vector Search

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Scoured 178 posts in 7.2 ms

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

 📝NLP

I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini

 🔍RAG

Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service

 🧮Embeddings  Content type: Blog
aws.amazon.com·

Discovering Data Structures: Nearest Neighbor Search and Beyond

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Best practices for building a modern app with vector search

 🔍RAG  Content type: Blog
elastic.co·

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

 🗄️Vector Databases  Content type: Blog
medium.com·

Agent Memory Database: Build It on TiDB with SQL and Python

 🗄️Vector Databases  Content type: Blog
pingcap.com·

Codebase Indexing Is Back in Kilo Code

 🔍RAG  Content type: Blog
blog.kilo.ai·

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 📝NLP  Content type: News
blocksandfiles.com·

Hashtag Jakarta EE #336

 🔍RAG
agilejava.eu·

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

 🦜LangChain  Content type: Discussion

RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning

 🔍RAG  Content type: Code

Show HN: Ext-Infer

 📝NLP

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

 🔍RAG  Content type: Blog
elastic.co·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 📝NLP  Content type: Blog
pingcap.com·

From Twitter frustration to building AI agents for lead gen – my journey & what's still rough

 🔌APIs  Content type: Discussion
volumn.ai··r/SideProject

The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure

 📝NLP
devops.com·

How to Build an Agentic RAG with RubyLLM and Rails

 📝NLP  Content type: Blog
panasiti.me··Hacker News

Using protein language models for pangenome construction

 🗄️Vector Databases  Content type: Academic
biorxiv.org·

Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models

 🧮Embeddings  Content type: Academic
arxiv.org·

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