🔄 LLM RAG Pipelines - emschwartz · Scour

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

📄Semantic Chunking Blog Discussion

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

📄Semantic Chunking Blog

towardsai.net·

Building a Memory-Safe Vector Database in Rust for AI Retrieval Systems

🎯Vector Search Blog

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

📄Semantic Chunking Academic

Philosophy

🔧Agent Tooling Reference

docs.langchain.com·

Build RAG-powered AI solutions at the edge with AWS Local Zones and Outposts

🎯Vector Search Blog

aws.amazon.com·

Release langchain==1.3.8 · langchain-ai/langchain

🔧Agent Tooling Code

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

📌Embedding Retrieval Discussion

news.ycombinator.com··Hacker News

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

🏗️Search Infrastructure Blog

Quiz: Embeddings and Vector Databases With ChromaDB

realpython.com·

langchain-ai/langchain langchain-core==1.4.6

🔧Agent Tooling Code

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

📱Edge AI Optimization Academic

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

✖️Cross-encoders Academic

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

📱Edge Computing Academic

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

🎨Chroma Academic

X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented Generation

🎨Chroma Academic

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

🕸️Sparse Vectors Academic

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

📌Embedding Retrieval Academic

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

📄Semantic Chunking Academic

Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval

🎨Chroma Academic

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