#RAG

Papers with Code paper Jun 17

Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why

Patient contexts span hundreds of heterogeneous documents and thousands of structured data points, yet the document-level metadata that AI systems need for retrieval and triage is ...

RAG Agents

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Papers with Code paper Jun 16

SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG

Retrieval-augmented generation (RAG) systems must balance retrieval granularity with contextual coherence, a challenge that existing methods address through LLM-guided chunking, si...

RAG

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Mastodon discussion Jun 16

🛠️I spent 10 hours last week mapping out a RAG pipeline. Three things became clear:Week 1 of building this from scratch ...

🛠️I spent 10 hours last week mapping out a RAG pipeline. Three things became clear:Week 1 of building this from scratch was intense but rewarding. I wanted to understand how the pi...

RAG

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Dev.to tutorial Jun 16

Building a Local Knowledge Graph RAG System for News Analysis with Neo4j and Ollama

I created NewsGraphRAG as a personal deep-dive to explore the boundaries of hybrid local retrieval...

RAG

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Dev.to tutorial Jun 16

From "I Understood Nothing" to Building a RAG App

Yesterday, I took the time to go through 31 pages of my own notes on NLP, notes I had carefully...

RAG

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Dev.to tutorial Jun 16

Async Scraping Jobs Are Usually a Better Fit for RAG Ingestion Than Blocking Requests

A practical look at async scraping job APIs for RAG pipelines, including polling, retries, stale data, selector drift, and failure modes.

RAG

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Dev.to tutorial Jun 16

Your RAG Agent Is Retrieving the Wrong Chunk: 5 Failure Modes We Fix in Production

A client called us last month with a simple complaint: "Our support agent confidently quotes the...

RAG

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Dev.to tutorial Jun 16

You Spent $35,000 Fine-Tuning a Model. A $28,000 RAG System Would Have Done It Better.

The most expensive mistake in enterprise AI right now is fine-tuning when retrieval is the actual...

RAG

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Mastodon discussion Jun 16

Headroom: a Tool to compress everything your AI Agent reads — tool outputs, logs, RAG chunks, files, and conversation hi...

Headroom: a Tool to compress everything your AI Agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM - 60-95% fewer Tokens, sam...

RAG Agents

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Dev.to tutorial Jun 16

Your .NET RAG stack hides a Python sidecar. I built the engine that removes it.

TL;DR — Every .NET RAG project quietly ships a Python sidecar to do one job: chunk documents. I got...

RAG

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Mastodon discussion Jun 16

K501 Archive Intelligence | Beyond RAG, Beyond Vector Databases, Toward Time-Anchored Knowledge Systemshttps://youtu.be/...

K501 Archive Intelligence | Beyond RAG, Beyond Vector Databases, Toward Time-Anchored Knowledge Systemshttps://youtu.be/Mfa1lU2G-DcWhat if knowledge retrieval could do more than fi...

RAG

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Dev.to tutorial Jun 15

Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI

Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI Today's...

Anthropic LLM RAG

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Mastodon discussion Jun 15

🧵 Why "No vectors. No embeddings"?Most context tools use vector search — meaning they embed your entire codebase into a ...

🧵 Why "No vectors. No embeddings"?Most context tools use vector search — meaning they embed your entire codebase into a DB and do similarity lookups at runtime.Problems:❌ Slow to i...

RAG

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Dev.to tutorial Jun 15

How I set up RAG evals in CI/CD so they actually catch regressions

I have hit this a few times.A PR lands late in the day, the RAG eval runs in under a minute, green...

RAG

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Dev.to tutorial Jun 15

Build a RAG application with Runware and LangChain

Retrieval-augmented generation (RAG) connects LLM answers to your own documents instead of relying on...

RAG

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GitHub Trending repo Jun 15

Happy-Chen-CH/Educational_RAG_System: 面向教育场景的RAG智能问答系统，融合关键词匹配与语义检索双引擎，融合MySQL和RAG技术，先经过MySQL数据库的检索(还融合了Redis辅助储存和搜索)，若无符合条件答案，则进入RAG系统，RAG知识库中的知识储存在Milvus向量数据库中

面向教育场景的RAG智能问答系统，融合关键词匹配与语义检索双引擎，融合MySQL和RAG技术，先经过MySQL数据库的检索(还融合了Redis辅助储存和搜索)，若无符合条件答案，则进入RAG系统，RAG知识库中的知识储存在Milvus向量数据库中

RAG

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Dev.to tutorial Jun 15

Building a RAG-Powered Code Reviewer That Actually Understands Your Codebase

Most AI code review tools give you generic advice. "Add type hints." "Handle exceptions." Useful,...

RAG

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Dev.to tutorial Jun 15

Your RAG System Is Broken. Your Chunks Are Why.

80% of RAG failures trace back to one decision made before the first vector is ever stored. Most...

RAG

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Dev.to tutorial Jun 15

One Misconfigured Vector Database. Every Customer's Data Exposed.

Multi-tenant AI systems have a security problem that most teams do not think about until it is too...

RAG

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Mastodon discussion Jun 15

インデックスですか……タムズの次の仕事になりそうです超精密インデックス「PageIndex」で実現する推論ベースRAG（JTC版） https://zenn.dev/snaga/articles/2026-06-14-doctools-wi...

インデックスですか……タムズの次の仕事になりそうです超精密インデックス「PageIndex」で実現する推論ベースRAG（JTC版） https://zenn.dev/snaga/articles/2026-06-14-doctools-with-pageindex#Apple #LLM #news #bot

RAG

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Dev.to tutorial Jun 15

Beyond RAG: What Are Embeddings in AI? A Practical Deep Dive for AI Engineers

Beyond RAG: What Are Embeddings in AI? Most people think embeddings are simply: “Text...

RAG

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Dev.to tutorial Jun 15

From RAG to Knowledge Discovery: What Comes Next for Enterprise AI

From RAG to Knowledge Discovery: What Comes Next for Enterprise AI? Over the past two years,...

RAG

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Dev.to tutorial Jun 14

A Cognitive Benchmark for Code-RAG Retrieval: Part 2 — Why Model Rankings Depend on the Pipeline

How embedding models, chunking, retrieval modes, and query phrasing jointly determine Code-RAG quality.

RAG Benchmark

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Mastodon discussion Jun 14

ヒトにはヒトの、亜人には亜人のエージェントがあるのでしょうGemma 4 31B + S3 Vectors + AgentCore で低コストな RAG を構築してみた | DevelopersIO https://dev.classmet...

ヒトにはヒトの、亜人には亜人のエージェントがあるのでしょうGemma 4 31B + S3 Vectors + AgentCore で低コストな RAG を構築してみた | DevelopersIO https://dev.classmethod.jp/articles/gemma4-s3vectors-agentcore-rag/#Apple #LLM #...

Google RAG

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