Local RAG — Topic Summaries
AI-powered summaries of 9 videos about Local RAG.
9 summaries
Mistral Small 3 - The NEW Mini Model Killer
Mistral has released “Mistral Small 3,” a new 24B-parameter open-weight model positioned as a fast, capable “workhorse” for everyday tasks—aimed at...
Ollama - Libraries, Vision and Updates
Ollama’s latest updates push local AI further into “build-and-automate” territory: new Python/JavaScript libraries, expanded vision model support,...
100% Local RAG with DeepSeek-R1, Ollama and LangChain - Build Document AI for Your Private Files
A practical way to make local RAG work reliably on long documents is to retrieve the right text chunks—then feed only those chunks (plus chat...
Gemma 2 - Local RAG with Ollama and LangChain
Running a fully local RAG pipeline with Gemma 2 is practical—and the fastest path starts with a clean indexing step, local embeddings, and a...
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...
Local Gemma 4 with OpenCode & llama.cpp | Build a Local RAG with LangChain | 🔴 Live
A local RAG app built around Gemma 4 can work surprisingly well on a single machine—but getting reliable retrieval depends less on the chat model and...
Gemini CLI + MCP Tools Deep Dive - Build a Completely Local RAG with Ollama | Context7, NextJS
Gemini CLI can be paired with an MCP server (Context7) to generate and run a fully local RAG-style “chat with your files” web app—complete with...
Build 100% Local Advanced RAG System for Financial PDFs with Qwen 3.5 | Docling, LangGraph & Ollama
A fully local “advanced RAG” stack for financial PDFs can be built end-to-end—PDF upload, parsing into citation-ready chunks, hybrid retrieval,...
Is RAG Dead in 2026? | Build Local RAG from First Principles
Retrieval-Augmented Generation (RAG) is still considered necessary in 2026—not because large language models can’t answer, but because they often...