Vector Retrieval — Topic Summaries
AI-powered summaries of 6 videos about Vector Retrieval.
6 summaries
6-Building Advanced RAG Q&A Project With Multiple Data Sources With Langchain
A multi-source RAG Q&A setup becomes practical by combining LangChain “tools” with an agent that can route questions to the right retrieval backend....
End To End RAG Agent With DeepSeek-R1 And Ollama
An end-to-end Retrieval-Augmented Generation (RAG) app is built to answer questions from locally uploaded PDFs using DeepSeek R1 running through...
LangChain & Supabase Tutorial: How to Build a ChatGPT Chatbot For Your Website
A practical blueprint for turning a website into a ChatGPT-style chatbot hinges on one move: retrieve the most relevant chunks of your site’s text...
Advanced RAG 06 - RAG Fusion
RAG Fusion aims to narrow the gap between what users type and what they actually mean by turning one user query into several targeted search queries,...
Local RAG with Llama 3.1 for PDFs | Private Chat with Your Documents using LangChain & Streamlit
A fully local “chat with your PDFs” system can be built using open models and self-hosted infrastructure, with responses grounded in retrieved...
How to Build an AI Chatbot Agent to Analyze Large PDFs Using LangGraph
A LangGraph-based AI chatbot agent can answer questions over large PDFs by routing each query to the right workflow—either retrieving relevant...