🎨 Chroma - emschwartz · Scour

Beyond the Jupyter Notebook: How to Build a Dockerized RAG Pipeline in Python using Haystack. 🚀Modal

pub.towardsai.net

·5d

Max-severity flaw in ChromaDB for AI apps allows server hijacking 🕳LLM Vulnerabilities

bleepingcomputer.com·1d·Hacker News

Building Vector Similarity Search in PostgreSQL with Pgvector 🐘pgvector

machinelearningmastery.com·2d·Hacker News

HarinezumIgel/RAG-LCC: A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready. 🔄LLM RAG Pipelines

github.com·5d·Hacker News

A Multi-Layer Cloud-IDS Pipeline with LLM and Adaptive Q-Learning Calibration 🏗️LLM Infrastructure

OpenData Vector: MIT-Licensed Vector Search on Object Storage 💾Binary Formats

opendata.dev·6d·Hacker News, r/programming

I tried every AI memory tool. Here's why I built another one. 💾Persistence Strategies

runmemento.com·4d·Hacker News

What Matters in Production RAG 📇Indexing Strategies

arpitbhayani.me·3d·Hacker News

Harness-first agentic SDLC: How OpenSearch builds software using its own search engine 🔧Agent Tooling

opensearch.org·6d·Hacker News

Comparing Context Retrieval Approaches for AI Code Review 🔄LLM RAG Pipelines

comparethemarketcareers.com·5d·Hacker News

Build a GenAI-Powered Question & Answer Generator with LangChain, Groq, and FAISS 🔤Tokenization

pub.towardsai.net

·2d

EliasOulkadi/shokunin: 職人 Shokunin 62 AI agent skills for OpenCode, Claude Code, Cursor, Windsurf. ChromaDB memory, MCP servers, declarative self-updates. Multi-model, open source, zero cost. 🔧Agent Tooling

github.com·4d·Hacker News

CortexDB V1: The Experience Layer for AI Agents 🧠Agent Memory

cortexdb.ai·5d·Hacker News

The Slowest Part of Your AI Pipeline Isn't the Model 📱Edge AI Optimization

siliconopera.com·6d

Less-relevant results

AHOY GRAG 🏗️LLM Infrastructure

ahoy.technology·6d

Your RAG Pipeline Is Lying to You. The Problem Is Not the Embeddings 🔄LLM RAG Pipelines

pub.towardsai.net

·2d

VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense 🗜️Vector Compression

arxiv.org·6d·Hacker News

How I Built a RAG System With a 7-Million-Node Knowledge Graph (And Why Vector Search Alone Isn't Enough) 🚀LanceDB

github.com·3d·DEV, Hacker News

I Crammed RAG, a Vector Database, and a Gemma LLM into a Mobile App. Here’s What Happened. 🎨ChromaDB

pub.towardsai.net

·11h

ayoubnabil/aiondb: PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust. 🗃️Rust Databases

github.com·6d·Hacker News, Hacker News, Hacker News

Log in to enable infinite scrolling