Retrieval Augmented Generation — Topic Summaries
AI-powered summaries of 10 videos about Retrieval Augmented Generation.
10 summaries
Complete RAG Crash Course With Langchain In 2 Hours
Retrieval-Augmented Generation (RAG) is presented as a practical way to make large language models answer with up-to-date, domain-specific...
5-Getting Started With Agentic RAG With Detailed Implementation Using LangGraph
Agentic RAG shifts retrieval from a fixed pipeline to a decision made on the fly: an autonomous agent chooses when to fetch context, what to fetch,...
LangChain Agents: Build Personal Assistants For Your Data (Q&A with Harrison Chase and Mayo Oshin)
LangChain agents are built around a simple but powerful idea: use a language model as a reasoning engine, then let it reliably choose and run...
Google's RAG Experiment - NotebookLM
NotebookLM is Google’s early, product-shaped experiment in retrieval-augmented generation (RAG): upload your own documents, ask questions, and get...
Cohere's Command-R a Strong New Model for RAG
Cohere’s Command-R arrives as a purpose-built model for retrieval-augmented generation (RAG) and tool/function calling, not as a bid to replace top...
LLM In-Context Learning Masterclass feat My (r/reddit) AI Agent
A Reddit AI agent can be made to deliver on-topic, “in-style” answers by stuffing a carefully curated “brain” into the model’s prompt—combining a...
State of GPT
Large language models are built through a pipeline that starts with internet-scale next-token pre-training and then progressively adds human...
How to Integrate RAG - Retrieval Augmented Generation into a LLM? (Practical Demo)
Retrieval-Augmented Generation (RAG) is presented as a practical way to make a language model answer questions using external, user-provided sources...
Build Smarter AI Apps: Memory, Tools, Retrieval & Structured Output with Python, Pydantic & Ollama
AI apps become meaningfully more useful when they’re given four upgrades beyond plain text prompting: memory, structured outputs, tool use, and...
Building a Text to SQL Chatbot with RAG, LangChain, FastAPI And Streamlit | Tech Edge AI
Text-to-SQL chatbots become dependable when they stop guessing and start grounding every generated query in the real database schema. The core fix is...