LLM RAG Pipelines

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LangChain Series #2: Models Explained — LLMs, Chat Models, and Embeddings with Practical…

 📊Embeddings
pub.towardsai.net
·

When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines

 📄Semantic Chunking  Content type: Academic
arxiv.org·

Context windows in AI: why every token is a budget decision

 🪄Prompt Engineering  Content type: Blog
redis.io·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🏗️Search Infrastructure  Content type: Blog
elastic.co·

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

 🎯Qdrant  Content type: Code
github.com··Hacker News

CQC-RAG: Robust Retrieval-Augmented Generation via Cross-Query Consistency

 📄Semantic Chunking  Content type: Academic
arxiv.org·

LangChain Series #3: Prompts Explained — Prompt Templates, Chat Prompts, Dynamic Prompting…

 🪄Prompt Engineering
pub.towardsai.net
·

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite

 📱Edge AI Optimization  Content type: Academic
arxiv.org·

Uncertainty-Aware Hybrid Retrieval for Long-Document RAG

 🎨Chroma  Content type: Academic
arxiv.org·

How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation

 🕸️Sparse Vectors  Content type: Academic
arxiv.org·

Fine-Tuning vs. RAG vs. Prompting: the Definitive Decision Framework for 2026

 🪄Prompt Engineering
pub.towardsai.net
·

CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free Scoring

 ✖️Cross-encoders  Content type: Academic
arxiv.org·

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 📄Semantic Chunking
pub.towardsai.net
·

EverydayGPT: Confidence-Gated Routing for Efficient and Safe Hybrid GPT-RAG Conversational QA

 📱Edge Computing  Content type: Academic
arxiv.org·

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

 🎨Chroma  Content type: Academic
arxiv.org·

uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking

 🕸️Sparse Vectors  Content type: Academic
arxiv.org·

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

 🎨Chroma
pub.towardsai.net
·

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

 🕸️Sparse Vectors
pub.towardsai.net
·

Decoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation

 📌Embedding Retrieval  Content type: Academic
arxiv.org·

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?

 📌Embedding Retrieval
pub.towardsai.net
·

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