Vector Databases

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Closing the Indexing-Decoding Gap in Multimodal Generative Retrieval via Prefix Retention Optimization

 🔍RAG  Content type: Academic
arxiv.org·

CS Degrees Aren’t Dead. The Entry Level Pipeline Is.

 🌟Open Source  Content type: News

How to Defend Against Prompt Injection in Production

 💛JavaScript  Content type: Reference
leanpub.com··DEV

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.

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

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval

 🔍RAG  Content type: Academic
arxiv.org·

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

 🔍RAG
pub.towardsai.net
·

Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store

 🔍RAG

How Automating RAG Memory Tests with ChromaDB Quadrupled Our Bug Discovery Rate

 🔍RAG  Content type: Blog
dev.to··DEV

AIchain Skill: A Prompt as a Reusable Object

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

AWS Certified Generative AI Developer Professional AIP-C01: Study Reference

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

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖LLMs
pub.towardsai.net
·

Architecture Breakdown: Building an Enterprise-Grade Legal RAG System (From Ingestion to RAGAS Evaluation)

 🔍RAG  Content type: Blog
dev.to··DEV

GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning

 🔍RAG  Content type: Academic
arxiv.org·

Tired of GitHub Trending being GitHub-only, so we made a multi-forge version (GitLab and Codeberg included)

 🌿Git

The Operational Self: What Happens When an AI Agent Loses Its Identity

 🏠Self-hosting  Content type: Blog
dev.to··DEV

Commvault says it's time to rethink resiliency as AI crooks leave victims in a 'dark, dead' state

 ⚙️Data Engineering
theregister.com·

What is Agentic RAG? Building Multi-Agent Agentic RAG Systems

 🤖LLMs
pub.towardsai.net
·

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

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

 🤖LLMs
linkedin.com··DEV

Building Hybrid Search with PostgreSQL, pgvector, and Citus

 🗄️Database Design  Content type: Blog
dev.to··DEV

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