Chat with data — Channel Summaries
AI-powered summaries of 14 videos about Chat with data.
14 summaries
GPT-4 Tutorial: How to Chat With Multiple PDF Files (~1000 pages of Tesla's 10-K Annual Reports)
Answering questions across multiple massive PDF files—like several years of Tesla 10-K annual reports—becomes practical when each document is...
GPT-4 & LangChain Tutorial: How to Chat With A 56-Page PDF Document (w/Pinecone)
A practical architecture for turning a long PDF into a chat-ready assistant hinges on two phases: ingest the document into a vector database, then...
LangChain Beginner's Tutorial for Typescript/Javascript
LangChain is positioned as a practical framework for building JavaScript/TypeScript applications on top of large language models—especially when...
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...
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...
How to Compare Multiple Large PDF Files Using AI (w/ Jerry Liu, Co-Founder of LlamaIndex)
Comparing two huge PDFs with AI—like Uber and Lyft 10-K filings—breaks down when retrieval is done “all at once” in a single vector index. The core...
How to Build a Notion ChatBot For Your Knowledge Base Using LangChain (Code Template Included)
A practical pipeline turns Notion pages into a searchable “chatbot” knowledge base by combining text chunking, vector embeddings, and a...
GPT-4 Vision: How to use LangChain with Multimodal AI to Analyze Images in Financial Reports
Financial reports often hide the real answers inside tables, charts, and other images—not in the surrounding text. The core takeaway is a practical...
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...
How to Analyze Tables In Large Financial Reports Using GPT-4 (w/Jerry Liu, LlamaIndex)
Advanced RAG for financial filings hinges on treating embedded tables as first-class, queryable objects—then retrieving them indirectly through...
How to Chat With Your Data in Private Without Internet (Using MPT-30B Open-Source LLM)
Local document chat is possible without sending sensitive text to third parties—by swapping closed APIs for an all-open pipeline built around the...
How to Build an AI Chatbot For Customer Support that Can Cut Support Costs By Up to 30%.
An AI customer-support chatbot can be deployed quickly by grounding answers in a company’s own help-center pages, with built-in citations and a...
Turn Your VS Code Into A Generative AI Prompt IDE for RAG Applications
Generative AI teams can turn VS Code into a “prompt IDE” for RAG by using AI config: prompts, model choices, and runtime settings live in...
LangGraph Fundamentals: A Basic Introduction of How to Build AI Agents
LangGraph is an orchestration framework for building AI agents that can reason through multi-step workflows—especially when the system must decide...