Vector Stores — Topic Summaries
AI-powered summaries of 5 videos about Vector Stores.
5 summaries
Master PDF Chat with LangChain - Your essential guide to queries on documents
Building a “chat with your PDF” system hinges on one practical fix: plain prompting can’t reliably handle long books because the context window is...
Gemini RAG - File Search Tool
Gemini’s API team introduced the File Search Tool, a built-in, automated RAG pipeline that turns uploaded documents into a ready-to-query vector...
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...
The 4 Stacks of LLM Apps & Agents
Building useful LLM apps and agents comes down to assembling four distinct “stacks” in the right places: the model itself, the data/search/memory...
Loaders, Indexes & Vectorstores in LangChain: Question Answering on PDF files with ChatGPT
A practical LangChain pipeline for turning PDFs, YouTube transcripts, and plain text into question-answering over embeddings is the core takeaway—and...