RAG

🔍 RAGSpecific

retrieval augmented generation, vector search, embeddings, knowledge base

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Scoured 477 posts in 22.4 ms

Powering the Inference Era: Inside the DigitalOcean Data & Learning Layer

 🤖LLMs  Content type: Blog
digitalocean.com·

Best practices for building a modern app with vector search

 🔗Federated Search  Content type: Blog
elastic.co·

Quiz: Embeddings and Vector Databases With ChromaDB

 🤖LLMs
realpython.com·

How to Build an Agentic RAG with RubyLLM and Rails

 🛠️Prompt Engineering  Content type: Blog
panasiti.me··Hacker News

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

 🤖LLMs  Content type: Academic
arxiv.org·

MongoDB as a Vector Database for AI Agents-MongoDB

 ⚡AI Applications
foojay.io·

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🛠️AI Tools  Content type: Blog
blogs.sas.com·

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

 🛠️Prompt Engineering  Content type: Blog
towardsai.net·

refactor(channel): share draft chunking resolver · openclaw/openclaw@b9095bf

 🕷️Web Crawlers  Content type: Code
github.com·

When Is It Actually a RAG Problem?

 🛠️Prompt Engineering
read.futureproofds.com·

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 🛠️Prompt Engineering
buy.polar.sh··DEV

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

 ⚡AI Applications  Content type: Discussion
news.ycombinator.com··Hacker News

How to Set Up Codebase Indexing in Kilo Code

 🛠️Prompt Engineering  Content type: News  Content type: Blog
blog.kilo.ai·

Hashtag Jakarta EE #336

 🕵️Dark Web
agilejava.eu·

My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 🛠️Prompt Engineering  Content type: News  Content type: Blog
braddelong.substack.com
··Substack

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🔍Search Engines  Content type: Blog
pingcap.com·

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

 🤖AI
drive.google.com··Hacker News

LLM Observability: What To Instrument and How To Act on It

 🛠️Prompt Engineering  Content type: Blog
blog.n8n.io·

Kyros-494/kyros-ai: Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

 ⚡AI Applications  Content type: Code
github.com··r/CLine

Chunking: Stop Splitting Sentences Mid-Thought

 🤖LLMs  Content type: Blog
rephrase-it.com·

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