RAG

Retrieval-Augmented Generation, Vector Search, Hybrid Search, Embeddings

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Scoured 267 posts in 10.2 ms

Redis for Agent Memory

 🤝Agent Systems  Content type: Blog
rephrase-it.com·
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Cloudian closes gap between enterprise AI ambitions and messy production deployments

 🤖AI-native development  Content type: News
blocksandfiles.com·

Path traversal flaw in AI dev platform Langflow exploited in attacks

 🤖AI-native development  Content type: News
bleepingcomputer.com·

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.

 🧠LLM Reasoning  Content type: Code
github.com··DEV

Toolora MCP Server – 12 free tools: PDF, OCR, QR codes, audio transcription, URL scraping, Excel, Word. No key needed.

 🤖AI-native development
glama.ai··r/mcp

Knowledge Graphs for AI Coding Assistants

 🕸Ontology
graphify.net·

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

 🤝Agent Systems  Content type: Discussion

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

 🕸Knowledge Graph  Content type: Blog
elastic.co·

Agentic Search Models with OpenSearch and Elasticsearch

 🤖Agentic Systems  Content type: Blog
bonsai.io··Hacker News

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

 🧠LLM Reasoning  Content type: Blog
databricks.com·

Introducing GitLab Orbit

 💬Prompt Engineering  Content type: Blog
about.gitlab.com··Hacker News

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

 🤖Agentic Systems  Content type: Academic
arxiv.org·

Your AI Agent Keeps Forgetting. Here's Why Context Is the Real Architecture Problem

 🤖AI-native development
ariefwara.github.io··DEV

AI context windows: Why context quality beats context size

 💬Prompt Engineering  Content type: Blog
redis.io·

Built my first proper agentic AI project

 🤖Agentic Systems  Content type: Code
github.com··DEV

Perplexity Search as Code allows AI agents to build custom search pipelines

 🤖Agentic Systems
4sysops.com·

ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK

 🤝Agent Systems  Content type: Blog

New comment by YadavPankaj79 in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI-native development

New comment by gab18 in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI-native development  Content type: Discussion

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

 💬Prompt Engineering
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