NLP

Natural Language Processing, Text Analysis, Language Models, Document Processing

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Scoured 596 posts in 5.7 ms

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

 🔍RAG  Content type: Academic
arxiv.org·

Quiz: Embeddings and Vector Databases With ChromaDB

 🔍RAG
realpython.com·

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

 💬Prompt Engineering  Content type: Blog
sweta-nit.medium.com·

Why Your LLM Gets Dumber With More Context

 💬Prompt Engineering
siliconopera.com·

RAG Pipeline Explained: From Query to Answer, Step by Step

 🔥DataFusion  Content type: Blog
medium.com
·

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

 💬Prompt Engineering  Content type: Blog
medium.com
·

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

 🦙Ollama  Content type: Code
github.com··DEV

Dynamic ReACT Loop with Conductor

 🔍RAG

LLM Observability: What To Instrument and How To Act on It

 🤖n8n, automation, AI agents, Gemini, Claude, openrouter, grok, chatgpt  Content type: Blog
blog.n8n.io·

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

 🔍RAG  Content type: Video

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🔍RAG  Content type: Blog
blogs.sas.com·

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

 🔍RAG  Content type: Blog
research.google·

How AI chatbots become better learning coaches

 💬Prompt Engineering
techxplore.com·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🦜LangChain  Content type: Blog  Content type: Discussion
tildalice.io·

Predictive Processing: Conscious when Training

 🔍RAG
lesswrong.com·

Large companies can add a local LLM filter layer to considerably reducing their AI costs

 🦙Ollama

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

 🐍Python

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

 🔍RAG  Content type: Blog
elastic.co·

How Confident Are AI Classifiers About Their Own Confidence?

 🤖Transformers  Content type: Blog

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

 🦜LangChain  Content type: Discussion

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