Tagged "rag-pipeline"
- Stop Paying for Search APIs—This Self-Hosted Tool Lets Your Local LLM Search the Web for Free
- LongCat-2.0 Released
- Building a Personal Ebook Librarian with Local LLMs for Better Recommendations
- Beyond Setup: Production Practices for Local LLM Deployment
- LLM-Free, Layout-Aware PDF Chunker in Pure Rust
- You Can Now Run Max AI Models on Apple Silicon
- Local Semantic Search Engine in Rust, No External DB
- GEEKOM A9 Max Delivers 32GB RAM and Native LLM Support in Compact Form Factor
- Mac Mini Positioned as Premier On-Device AI Computer for Local LLM Inference
- I Built a Bedside AI Assistant That Reads Me the News Without Touching the Cloud
- PageToMD – A CLI tool to turn web pages into clean Markdown for AI agents
- Architecting Modular Local AI Ecosystems to Escape Token Economics
- Show HN: Veritrooper – find what your AI gets wrong about your own docs
- Ask HN: What is the AI setup for an experienced dev starting on a new project?
- Show HN: LLM Memory Without Context Bleed – 100% Precision vs. <10% Vector Search
- LLM Memory Systems Benchmark: High Recall, Near-Zero Precision for Tested Systems
- Local LLM Setup: How to Use RAG and an Embedding Model to Stop Wasting Context
- On-Device AI to Be in 80% of Wearables by 2032
- LLM Wiki App Chunker: Transform Documents Into Navigable Knowledge Trees
- Local LLM Integration Enables Replacement of Paid Subscription Services
- Discussion: Including New Mathematical Proofs in LLM Training Data for Rediscovery
- Agentic AI Community Focus: Building Local Agents in 2026
- SQL Server 2025 Adds Built-in Chunking and Vector Support
- Xmemory: Benchmarking Structured AI Memory Against RAG and Hybrid RAG
- Mathesar 0.10.0
- 16 Ways to Make a Small Language Model Think Bigger
- N8n, Dify, and Ollama Emerge as Leading Self-Hosted AI Automation Stack
- Universal Knowledge Store and Grounding Layer for AI Reasoning Engines
- Does RAG Help AI Coding Tools?
- Ask HN: What do you use for local embeddings?
- Lat.md: Agent Lattice – A Knowledge Graph for Your Codebase in Markdown