RAG

🔍 RAGSpecific

Retrieval-Augmented Generation, Vector Search, Knowledge Bases, Context Injection

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Scoured 202 posts in 10.0 ms

Local-first multimodal file search on macOS

 📐Linear Algebra
hanxiao.io··Hacker News, Hacker News

The Search Engine Renaissance: How Apache Lucene and Elasticsearch Are Reclaiming the AI-Native Future

 🔍Vector Databases  Content type: Blog
dev.to··DEV

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

 🗄️Database Design  Content type: Code
github.com··Hacker News, r/SideProject, r/mcp, r/vibecoding

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 💬Prompt Engineering
haloproject.gumroad.com··DEV

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance

 🤖LLMs  Content type: Academic
arxiv.org·

Maybe Coding Agents Don't Need a Bigger Memory. Maybe They Need Continuity.

 🔍Vector Databases  Content type: News  Content type: Blog
oldskultxo.substack.com··Substack

Teaching a Reranker the Language of Security Tickets (+41% MRR@10)

 🤖LLMs
linkedin.com··DEV

Citation-Guard: Production RAG Patterns for Regulated Fintech

 🤖LLMs  Content type: Blog
dev.to··DEV

Document-Authored Control-Signal Impersonation: A Low-Cost Indirect Prompt Attack on RAG Safety Boundaries

 🤖LLMs  Content type: Academic
arxiv.org·

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 🦙Ollama  Content type: Code
github.com··DEV

I Built a Private AI That Answers Questions From My Own PDFs — Entirely on My Laptop

 🤖LLMs
pub.towardsai.net
·

Classical RAG vs Agentic RAG: a practical decision guide

 🤖LLMs  Content type: Blog
dev.to··DEV

Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection

 🤖LLMs  Content type: Academic
arxiv.org·

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

 🤖LLMs
pub.towardsai.net
·

Built my first proper agentic AI project

 🤖LLMs  Content type: Code
github.com··DEV

Designing a config-driven agentic RAG platform for customer support

 🤖LLMs  Content type: Blog
dev.to··DEV

Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents

 🤖LLMs  Content type: Academic
arxiv.org·

LangChain Series #2: Models Explained — LLMs, Chat Models, and Embeddings with Practical…

 🤖LLMs
pub.towardsai.net
·

Unlocking the Power of RAG Systems with LangChain and Vector Databases

 🔍Vector Databases  Content type: Blog
dev.to··DEV

Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain

 🤖LLMs  Content type: Academic
arxiv.org·

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