Local-first RAG for privileged legal documents: why citations need verification
A practical look at building private legal document chat with local LLMs and mechanically verified citations.
#RAG
1703 articles tagged with RAG
Back from @WeAreDevs World Congress and still energized! 🚀 I had my Hybrid RAG workshop on building more factual AI for ...
Back from @WeAreDevs World Congress and still energized! 🚀 I had my Hybrid RAG workshop on building more factual AI for high-stakes use cases, met incredible people, and shared ide...
PixelRAG is an open-source visual RAG framework that helps local AI models understand documents by analyzing screenshots...
PixelRAG is an open-source visual RAG framework that helps local AI models understand documents by analyzing screenshots instead of relying only on extracted text.It preserves tabl...
My RAG evaluation pipeline returned nan — here's what that taught me about Groq, RAGAS, and production LLM systems
I built four GenAI projects before this one: a PDF chatbot, a tool-calling exam-prep agent, a manual...
Your RAG Eval Is Checking the Receipt, Not the Patient
Clinical RAG can pass grounding checks while citing evidence about the wrong entity.
Why Your RAG Agent Can't Connect the Dots (And How to Fix It)
The Problem You've Probably Hit You've built a RAG agent. It answers questions from your...
RAG - Meta Filtering and Reranking
Generally, when a user asks a query, the system searches for the relevant chunks stored in the vector...
I Built a Simple RAG App with LangChain, OpenAI, and Pinecone
Large language models know a lot, but they do not automatically know the contents of our private...
Build a RAG System in Google Colab Before Your Next AI Interview
You don't need to study machine learning for six months to understand RAG. You don't need...
Turn any website into clean Markdown for your RAG pipeline (with code)
If you've built anything with retrieval-augmented generation (RAG), you know the unglamorous truth:...
What's the Difference Between RAG and Agent Memory?
RAG retrieves from a fixed document corpus at query time; agent memory stores what the agent learned from interactions and updates it over time. Read-only retrieval vs read-write l...
Anatomy of a Full RAG Application: Every Concept, One Self-Hosted Stack
Parsing, chunking, hybrid search with RRF, reranking, knowledge graphs, token budgeting, and parallelism — every layer of a production-grade RAG app, with real code.
How to Build a RAG App in Next.js (2026 Guide) — Claude, Pinecone, Voyage AI
If you've tried to build an AI app that answers questions about your own content — docs, PDFs, a...
DynaKRAG makes multi-hop RAG adaptive, hits 0.60 F1 on HotpotQADynaKRAG treats multi-hop evidence gathering as a learned...
DynaKRAG makes multi-hop RAG adaptive, hits 0.60 F1 on HotpotQADynaKRAG treats multi-hop evidence gathering as a learned control problem, outperforming fixed RAG pipelines on three...
RAGFlow + MCP: Turning Your Best RAG Config Into a Production Assistant
You've found your best RAG settings. Now how do you turn them into a real assistant your team uses...
We are building a Rust RAG API with vectors and SQLite.#ai #rag #rust
We are building a Rust RAG API with vectors and SQLite.#ai #rag #rust
Building a Production-Ready RAG Evaluation Framework
Evaluating a RAG application is harder than measuring a few metrics. Many existing tools focus on...
In-process embeddings for a desktop AI app, or how a missing daemon silently broke my RAG
I'm building a desktop AI app for non-technical users — the kind of person who double-clicks an icon...
youxiandechilun/Guido: 景区导览服务 AI 数字人：基于 Spring Boot、Vue 3、UniApp 与本地 RAG 的智能导览系统。
景区导览服务 AI 数字人：基于 Spring Boot、Vue 3、UniApp 与本地 RAG 的智能导览系统。
GRASP: GRanularity-Aware Search Policy for Agentic RAG
Agentic retrieval-augmented generation (RAG) extends static RAG by allowing language models to iteratively reason, generate search queries, retrieve evidence, and predict answers. ...
Azure AI Search in 2026, how to build a RAG pipeline
Most RAG tutorials online show the same pattern: take a document, split it into chunks, generate...
The AI ecosystem keeps introducing new concepts:• LLMs• AI Agents• RAG• Embeddings• MCP• Vector DatabasesBuilding a clea...
The AI ecosystem keeps introducing new concepts:• LLMs• AI Agents• RAG• Embeddings• MCP• Vector DatabasesBuilding a clear glossary of AI terminology is becoming more important than...
razesoni/Generative-AI-Course-Context-Engine: An offline, AI-powered teaching assistant that uses a local RAG pipeline (Whisper + Ollama) to transcribe educational videos, answer student queries, and generate quizzes.
An offline, AI-powered teaching assistant that uses a local RAG pipeline (Whisper + Ollama) to transcribe educational videos, answer student queries, and generate quizzes.
🚀 Deodat-Lawson/LaunchStackTypeScript engine for AI-native Next.js apps with ingestion, OCR, RAG, and knowledge graph ca...
🚀 Deodat-Lawson/LaunchStackTypeScript engine for AI-native Next.js apps with ingestion, OCR, RAG, and knowledge graph capabilities⭐ Stars: 884📅 Last Update: Jul 01, 2026https://git...