RAG

retrieval augmented generation, retrieval pipeline, chunking, indexing

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Scoured 455 posts in 9.1 ms

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🤖LLM Agents  Content type: Blog  Content type: Discussion
tildalice.io·

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

 🔢Embeddings  Content type: Discussion

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

 🤖LLM Agents

langchain-ai/langchain langchain-core==1.4.6

 🤖LLM Agents  Content type: Code
github.com
·

Quiz: Embeddings and Vector Databases With ChromaDB

 🗄️Vector Databases
realpython.com·

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

 🧠Context Engineering  Content type: Academic
arxiv.org·

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

 🧠Context Engineering  Content type: Blog
towardsai.net·

Embeddings in Generative AI: The Hidden Technology That Makes AI Actually Useful

 🔍Semantic Search  Content type: Blog
medium.com
·

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

 📡Information Retrieval  Content type: Blog
elastic.co·

Audio-first, deep-dive RAG Masterclass on YT it's called "Master RAG while you sleep"

 💬LLMs  Content type: Video

Prompt Caching Explained: The AI Concept That Can Save Millions of Tokens

 🧠Context Engineering  Content type: Blog
sweta-nit.medium.com·

Philosophy

 🤖LLM Agents  Content type: Reference
docs.langchain.com·

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

 🗄️Vector Databases  Content type: Blog
pinecone.io·

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

 🧠Context Engineering  Content type: Blog
redis.io·

How to Build an Agentic RAG with RubyLLM and Rails

 📡Information Retrieval  Content type: Blog
panasiti.me··Hacker News

How to Build a Deterministic RAG Testing Tool — and Use LLM as an Advisor, Not a Judge

 💬LLMs  Content type: Blog
medium.com
·

Embedding pipelines are the new ETL

 🧠Context Engineering  Content type: Blog
infoworld.com·

Why Most RAG Systems Slow Down After the First 3 Months

 📡Information Retrieval  Content type: Blog
blog.stackademic.com
·

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 📡Information Retrieval
buy.polar.sh··DEV

I Built a RAG System in 2025. The “RAG Is Dead” Posts Keep Telling Me to Delete It.

 🧠Context Engineering
ai.gopubby.com
·

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