Loading video...

Video Failed to Load

Go Home

7/ Chat with File System Showing off LlamaIndex integrations with Ollama multimodal. Chat and ask questions about any file on your computer including images and PDFs Sourabh Desai LlamaIndex 🦙

AlexReibman's profile picture

Alex Reibman 🖇️

46,726 subscribers

43,464 views • 2 years ago •via X (Twitter)

Science & TechnologyEducationComedy
LIVE

Anya Rossi• Live Now

Private livecam show

2 Comments

yikes (:D/acc)'s profile picture
yikes (:D/acc)2 years ago

@thesourabhd @llama_index gee it would be really cool if this was already in ur emacs @introsp3ctor dont suppose u know of any gh repos like that do u :3

Mrigank Tripathi's profile picture
Mrigank Tripathi2 years ago

@thesourabhd @llama_index @vishalsaha

Related Videos

Ready to build a “Chat with your code” application with ollama, Weaviate, and LlamaIndex 🦙 on Lightning AI ⚡️ Studio? We’ve just published a Lightning AI Studio template that you can simply copy. You’ll be up and running with your Retrieval-Augmented Generation (RAG) pipeline in minutes. Jump right in here:
0:25

Ready to build a “Chat with your code” application with ollama, Weaviate, and LlamaIndex 🦙 on Lightning AI ⚡️ Studio? We’ve just published a Lightning AI Studio template that you can simply copy. You’ll be up and running with your Retrieval-Augmented Generation (RAG) pipeline in minutes. Jump right in here:

Weaviate AI Database

12,430 views • 2 years ago

Transforming Invoice Data into JSON: Local LLM with LlamaIndex & Pydantic 🚀 Complete video: Code: I explain how to get structured JSON output with LlamaIndex and dynamic Pydantic class. This helps to implement the use case of data extraction from invoice documents. The solution runs on the local machine, thanks to Ollama. I'm using a MacBook Air M1 with 8GB RAM. LlamaIndex 🦙 Pydantic ollama #Python #LLM #RAG
1:56

Transforming Invoice Data into JSON: Local LLM with LlamaIndex & Pydantic 🚀 Complete video: Code: I explain how to get structured JSON output with LlamaIndex and dynamic Pydantic class. This helps to implement the use case of data extraction from invoice documents. The solution runs on the local machine, thanks to Ollama. I'm using a MacBook Air M1 with 8GB RAM. LlamaIndex 🦙 Pydantic ollama #Python #LLM #RAG

Andrej Baranovskij

147,949 views • 2 years ago

Want to chat over your own documents using the new OpenAI Realtime API? You can do so now using Voice Chat PDF, built using LlamaIndex 🦙 and Next.js. The video below shows an example using a document about physical mailing standards. 📄
0:20

Want to chat over your own documents using the new OpenAI Realtime API? You can do so now using Voice Chat PDF, built using LlamaIndex 🦙 and Next.js. The video below shows an example using a document about physical mailing standards. 📄

Marcus Schiesser

159,606 views • 1 year ago

One more left in our back pocket... FILE UPLOADS ARE HERE 🚀 Users can now chat directly with their files—PDFs, spreadsheets, and any text file—across several file formats (.pdf, .docx, .xlsx, .csv, .pptx, .txt). Drag-and-drop or tap the 📎 icon to choose your desired files!
1:26

One more left in our back pocket... FILE UPLOADS ARE HERE 🚀 Users can now chat directly with their files—PDFs, spreadsheets, and any text file—across several file formats (.pdf, .docx, .xlsx, .csv, .pptx, .txt). Drag-and-drop or tap the 📎 icon to choose your desired files!

Sentient

62,401 views • 11 months ago

create-llama is now also the easiest way to get started with multi-agents using LlamaIndex 🦙 v0.2 adds multi-agents using LlamaIndex Workflows. Create a multi-agent chat UI like the one below in a single command line! 🖥️ $ npx create-llama 📄
0:29

create-llama is now also the easiest way to get started with multi-agents using LlamaIndex 🦙 v0.2 adds multi-agents using LlamaIndex Workflows. Create a multi-agent chat UI like the one below in a single command line! 🖥️ $ npx create-llama 📄

Marcus Schiesser

48,338 views • 1 year ago

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:
0:20

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

108,381 views • 1 month ago

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:
2:47

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

Andrew Ng

218,284 views • 2 years ago

Today, every Nomic-Embed-Text embedding becomes multimodal. Introducing Nomic-Embed-Vision: - a high quality, unified embedding space for image, text, and multimodal tasks - outperforms both OpenAI CLIP and text-embedding-3-small - open weights and code to enable indie hacking, research, and experimentation - released in collaboration with MongoDB, LlamaIndex 🦙, , Hugging Face, Amazon Web Services, DigitalOcean, Lambda
0:24

Today, every Nomic-Embed-Text embedding becomes multimodal. Introducing Nomic-Embed-Vision: - a high quality, unified embedding space for image, text, and multimodal tasks - outperforms both OpenAI CLIP and text-embedding-3-small - open weights and code to enable indie hacking, research, and experimentation - released in collaboration with MongoDB, LlamaIndex 🦙, , Hugging Face, Amazon Web Services, DigitalOcean, Lambda

CalCo

103,205 views • 2 years ago

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use
1:09

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use

Karan Vaidya

62,030 views • 1 year ago

Let's create an AI tour planner agent using LlamaIndex 🦙 workflows 🔥 GitHub: Stacks used: - LlamaIndex workflow for orchestration - SerpAPI for finding flights, hotels etc. Full tutorial 👇
2:30

Let's create an AI tour planner agent using LlamaIndex 🦙 workflows 🔥 GitHub: Stacks used: - LlamaIndex workflow for orchestration - SerpAPI for finding flights, hotels etc. Full tutorial 👇

Rohan

20,905 views • 1 year ago

The Chat Playground is now the Prompts Playground—we've redesigned it to help you better test, compare, and iterate on prompts, including with tools like web search and file search. 🛝
0:28

The Chat Playground is now the Prompts Playground—we've redesigned it to help you better test, compare, and iterate on prompts, including with tools like web search and file search. 🛝

OpenAI Developers

94,412 views • 1 year ago

You can now chat directly with your Vercel Marketplace integrations. Ask questions, query data, or take action in plain English. Powered by MCP under the hood. Try it with Neon, Supabase, Dash0, Stripe, Prisma and Mux, and more coming soon →
0:46

You can now chat directly with your Vercel Marketplace integrations. Ask questions, query data, or take action in plain English. Powered by MCP under the hood. Try it with Neon, Supabase, Dash0, Stripe, Prisma and Mux, and more coming soon →

Vercel Developers

24,916 views • 5 months ago

Chakra AI Agent Chat & Integrations.🧠 Seamlessly chat with your agent inside the Chakra dashboard, across Discord, Telegram, and more. Create and integrate your agent effortlessly — with Chakra.
1:33

Chakra AI Agent Chat & Integrations.🧠 Seamlessly chat with your agent inside the Chakra dashboard, across Discord, Telegram, and more. Create and integrate your agent effortlessly — with Chakra.

Chakra Agents

10,271 views • 1 year ago

You can now chat locally with AI and your PDFs completely offline. Blueshell runs in your browser and doesn't communicate with any server. No installation and open source. Here's how to access it:
0:35

You can now chat locally with AI and your PDFs completely offline. Blueshell runs in your browser and doesn't communicate with any server. No installation and open source. Here's how to access it:

Paul Couvert

42,331 views • 1 year ago

Cursor for PDFs Highlight any section of any PDF to ask questions and "@" other papers from your library Works everywhere with our Chrome extension - arXiv, PubMed Central, your local files, any PDF online
0:20

Cursor for PDFs Highlight any section of any PDF to ask questions and "@" other papers from your library Works everywhere with our Chrome extension - arXiv, PubMed Central, your local files, any PDF online

alphaXiv

39,513 views • 1 year ago

Pick up where you left off with chat history import. Export your data from another AI app and upload the .ZIP file to Gemini to transfer your chat history. To get started: 1) Export your data: Request a data export from your current AI provider (they will usually email you a ZIP file). 2) Upload to Gemini: Navigate to the “Import chats” section of your "Import memory to Gemini" page and select your ZIP file. 3) Pick up where you left off: Gemini securely processes and organizes your past threads so you can search, reference, and continue building on them.
0:25

Pick up where you left off with chat history import. Export your data from another AI app and upload the .ZIP file to Gemini to transfer your chat history. To get started: 1) Export your data: Request a data export from your current AI provider (they will usually email you a ZIP file). 2) Upload to Gemini: Navigate to the “Import chats” section of your "Import memory to Gemini" page and select your ZIP file. 3) Pick up where you left off: Gemini securely processes and organizes your past threads so you can search, reference, and continue building on them.

Google Gemini

45,479 views • 3 months ago

Running separate AI chats for text, media, and research can be cumbersome and repetitive. So Venice just made your AI workflows simpler. 🧵Introducing Agentic Chat: text, images, video, file analysis, and research all from a single chat input.
0:24

Running separate AI chats for text, media, and research can be cumbersome and repetitive. So Venice just made your AI workflows simpler. 🧵Introducing Agentic Chat: text, images, video, file analysis, and research all from a single chat input.

Venice

24,218 views • 1 month ago