Retrieval-Augmented Generation for Knowledge-Intensive NLP
Research paper on papers, rag.
22
Resources
Rag
Focus
Curated paths
Pick a trackFoundation Sprint
Tutorials + articles for fast ramp
Systems & Architecture
Design decisions and tradeoffs
Agentic Workflows
Planning, tools, memory patterns
Production Readiness
Evaluation, monitoring, deployment
AI Career Lab
Put learning into action with our career tools.
Browse by focus
Start with a level, then refine by format or deep dive.
Levels
Formats
Deep dives
Career prep
Start here for the quickest ramp from concepts to working systems.
Learn planning, tool use, memory design, and orchestration patterns.
Ship safely with evaluation, latency tuning, and reliability playbooks.
Contribute
Share it with the community and help others build better AI.
Resource list
Research paper on papers, rag.
In-depth article on rag, evaluation.
In-depth article on rag, architecture.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, evaluation.
Open-source project for rag.
Open-source project for rag, agents.
Step-by-step guide for rag, production.
Step-by-step guide for rag, agents, architecture.
Step-by-step guide for rag, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Structured course covering rag, evaluation, production.
Structured course covering agents, rag.
Purpose-built vector database for AI applications. Powers semantic search, RAG, and similarity matching.
Retrieval Augmented Generation: combine vector search with LLMs for enhanced AI responses. Production-ready patterns.
Build powerful LLM applications with LangChain. Chains, agents, memory, and RAG made simple.
Learn to build LLM applications with LangChain: chains, agents, memory, RAG, and production deployment.