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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 🦙

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Alex Reibman 🖇️

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43,464 görüntüleme • 2 yıl önce •via X (Twitter)

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yikes (:D/acc) profil fotoğrafı
yikes (:D/acc)2 yıl önce

@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

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@thesourabhd @llama_index @vishalsaha

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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:
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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:

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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. 📄
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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. 📄

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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!
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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!

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PWAs can now access the file system on desktop and both Android and iOS support the Origin Private File System! 💪 Your PWA can work with OPFS like any other file system like create directories and files or save any type of file. Demo: 🧵1/2
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PWAs can now access the file system on desktop and both Android and iOS support the Origin Private File System! 💪 Your PWA can work with OPFS like any other file system like create directories and files or save any type of file. Demo: 🧵1/2

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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:
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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:

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218,284 görüntüleme • 2 yıl önce

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. 🛝
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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. 🛝

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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 →
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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 →

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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:
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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 görüntüleme • 1 yıl önce

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
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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

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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.
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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.

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ModCon is back. August 18th. San Francisco. A full day of AI infrastructure talks, launches, and workshops, with speakers including Dylan Patel of SemiAnalysis , Jerry Liu of LlamaIndex 🦙, 👩‍💻 Paige Bailey of Google DeepMind, and Sid Sheth of @dMatrix. Limited spots. Early-bird pricing ends July 1st. Get your ticket:
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ModCon is back. August 18th. San Francisco. A full day of AI infrastructure talks, launches, and workshops, with speakers including Dylan Patel of SemiAnalysis , Jerry Liu of LlamaIndex 🦙, 👩‍💻 Paige Bailey of Google DeepMind, and Sid Sheth of @dMatrix. Limited spots. Early-bird pricing ends July 1st. Get your ticket:

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We’re excited to feature the AI Chatbot Starter 🤖🧰 - a web server powered by AstraDB (POC) and LlamaIndex 🦙 that you can easily spin up to chat over any web documentation 🌐📑 Easily use this as a standalone service or integrate it with your full-stack application. Set it up by simply setting a few credentials and ingesting your documents. A huge shoutout to the POC team for creating this: check it out below 👇 Repo:

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/readout in Warp Turns any research question you have about your codebase into an interactive HTML file with architecture diagram and linked file references that you can share with your teammates! skill linked below, courtesy of zach bai
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/readout in Warp Turns any research question you have about your codebase into an interactive HTML file with architecture diagram and linked file references that you can share with your teammates! skill linked below, courtesy of zach bai

sathvik

17,108 görüntüleme • 25 gün önce

SuperGrok is insanely powerful. Use the file chat feature and talk to your code in real time. Coded this 3D model of helmet for a game asset using threejs and webgl with Grok 4. The file chat allowed me to add lighting and color controls just like that. It felt surreal. Try it now.
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SuperGrok is insanely powerful. Use the file chat feature and talk to your code in real time. Coded this 3D model of helmet for a game asset using threejs and webgl with Grok 4. The file chat allowed me to add lighting and color controls just like that. It felt surreal. Try it now.

Prashant

1,273,920 görüntüleme • 11 ay önce

We've spent years building LlamaParse into the most accurate document parser for production AI. Along the way, we learned a lot about what fast, lightweight parsing actually looks like under the hood. Today, we're open-sourcing a light-weight core of that tech as LiteParse 🦙 It's a CLI + TS-native library for layout-aware text parsing from PDFs, Office docs, and images. Local, zero Python dependencies, and built specifically for agents and LLM pipelines. Think of it as our way of giving the community a solid starting point for document parsing: npm i -g @llamaindex/liteparse lit parse anything.pdf - preserves spatial layout (columns, tables, alignment) - built-in local OCR, or bring your own server - screenshots for multimodal LLMs - handles PDFs, office docs, images Blog: Repo:
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We've spent years building LlamaParse into the most accurate document parser for production AI. Along the way, we learned a lot about what fast, lightweight parsing actually looks like under the hood. Today, we're open-sourcing a light-weight core of that tech as LiteParse 🦙 It's a CLI + TS-native library for layout-aware text parsing from PDFs, Office docs, and images. Local, zero Python dependencies, and built specifically for agents and LLM pipelines. Think of it as our way of giving the community a solid starting point for document parsing: npm i -g @llamaindex/liteparse lit parse anything.pdf - preserves spatial layout (columns, tables, alignment) - built-in local OCR, or bring your own server - screenshots for multimodal LLMs - handles PDFs, office docs, images Blog: Repo:

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