Retrieval QA — Topic Summaries
AI-powered summaries of 5 videos about Retrieval QA.
5 summaries
What are Runnables in LangChain | Generative AI using LangChain | Video 8 | CampusX
LangChain’s “runnables” are the missing abstraction that turns a pile of LLM-related components into a composable system. Instead of manually wiring...
LangChain + Retrieval Local LLMs for Retrieval QA - No OpenAI!!!
Getting rid of OpenAI entirely for Retrieval QA with LangChain is feasible, but the quality hinges on the local LLM’s context limits, prompt format...
Advanced RAG 02 - Parent Document Retriever
Parent document retrievers fix a common RAG tradeoff: embeddings need to be specific enough to find the right passage, but the language model needs...
Getting Started with LangChain and Llama 2 in 15 Minutes | Beginner's Guide to LangChain
LangChain’s core value is turning large language models like Llama 2 into systems that can pull in outside information and take actions—by chaining...
RetrievalQA with LLaMA 2 70b & Chroma DB
Retrieval-augmented QA with LLaMA-2 70B works cleanly when answers are grounded in a local Chroma vector database built from a set of research PDFs....