Tuana @tuana.dev · 17/09/2026A new TabPFN extension is cooking (well, cooked actually) to handle images in tables: TabPFNWithImages 100
Tuana @tuana.dev · 15/09/2026We released TabPFN-3.5 today, and it's the next SOTA tabular foundation model now ranking first on TabArena and BeyondArena for 1M rows and up to 20k features. 100
Tuana @tuana.dev · 06/08/2026Another step in getting tabular foundation models into the working knowledge of agents: @LennartPurucker built a TabArena MCP server, so an agent can query the leaderboards directly. 200
Tuana @tuana.dev · 03/08/2026I'm as LLM reliant as the next person.. But we forget there are other models too, specialized models that are cheaper and more effective to use depending on the task.. E.g.: Agents need tools for structured data predictions. 110
Tuana @tuana.dev · 20/03/2026`npx skills add run-llama/llamaparse-agent-skills --skill liteparse` 100
Tuana @tuana.dev · 19/03/2026We just open-sourced LiteParse 🎉 A lightweight, local document parser in the shape of an easy-to-use CLI. No API calls, no external service, no cloud dependency. Just fast text extraction from common file formats, right from your terminal. 100
Tuana @tuana.dev · 19/02/2026I filmed a walkthrough of LlamaAgent Builder, our new tool for building document agents by just describing what you want @llama_index 110
Tuana @tuana.dev · 29/01/2026We have a new tool to help you build and deploy document agents in LlamaCloud. The LlamaAgents Builder is kiiinda no-code, but not: 🦋 We have a new chat interface: just describe the document processing task you want in natural language 100
Tuana @tuana.dev · 22/01/2026We rebuilt LlamaParse's API from the ground up, and also released new SDKs for LlamaCloud in its entirety. API v2 for LlamaParse simplfies parsing config into structured objects · input_options for file-specific settings. · output_options for controlling what you get back. 110
Tuana @tuana.dev · 29/12/2025I went offline for a couple of days to be with family and it seems like all we talked about on this platform has been coding agents. 110
Tuana @tuana.dev · 02/12/2025The team at LlamaIndex have been cooking! 🧑🍳 🍳 Over the last few weeks, we released: LlamaAgents: This is agent workflows that come with complete, deployable templates (more coming on this this week!) 120
Tuana @tuana.dev · 25/11/2025We shipped LlamaSheets today (beta, free). It approaches spreadsheets as a visual structure: Bold headers, merged cells, color-coded categories. 100
Tuana @tuana.dev · 19/11/2025Yesterday we announced the open preview for LlamaAgents So, me and my colleague Adrian wrote this intro blog to help you get started. Learn about all the document agent templates available to you via llamactl and: 111
Tuana @tuana.dev · 18/11/2025LlamaExtract now has a PER_TABLE_ROW extraction target. Instead of extracting once per doc or per page, you can now apply your schema to each row in a table or each item in a bulleted list—getting back an array of structured JSON objects. 100
Tuana @tuana.dev · 28/10/2025Last week, I spent some time on the DeepSeek OCR paper with @LoganMarkewich and it was genuinely interesting. It's definitely not just OCR - it's using vision as compression. 10x token reduction while maintaining accuracy. 100
Reposted by TuanaLlamaIndex @llamaindex.bsky.social · 21/10/2025Build Text-to-SQL systems with open source Arctic models and agentic workflows 🚀 Our own @tuana.dev is speaking at Snowflake Build to show you how to create powerful data analysis agents that can handle complex, multi-part questions: 111
Tuana @tuana.dev · 20/10/2025An interesting overlap exists between memory and context. And a new(ish) memory block that was added as an integration to @llama_index is (imo) - a great demonstration of that 👉 the Artifact Memory Block 110
Tuana @tuana.dev · 02/10/2025This past Monday I had the pleasure of joining a panel about open-source and AI, hosted by Merantix at the London AI Hub. 100
Tuana @tuana.dev · 01/10/2025We're opening up early access to LlamaAgents - which allows you to go from local LlamaIndex agent workflows to deployed agents in a matter of minutes. 100
Tuana @tuana.dev · 26/08/2025Wrote about something I've been thinking about lately: how AI coding agents are changing how we build AI agents themselves At LlamaIndex, we've been experimenting with using coding agents like Cursor and Claude Code to speed up build agentic workflows themselves + their UIs 100
Tuana @tuana.dev · 25/08/2025We're making 𝐯𝐢𝐛𝐞-𝐥𝐥𝐚𝐦𝐚 with and for LlamaIndex a lot easier.. Last week we released vibe-llama, a tool developed by @cle-does-things.bsky.social 110
Tuana @tuana.dev · 19/08/2025This is not GraphRAG, it comes before.. Last week, me and Tomaz (from neo4j) published another demo together. The idea: you have a bunch of unstructured documents (think legal, PDFs etc) and you want to construct a knowledge graph out of them. 121
Tuana @tuana.dev · 05/08/2025OpenAI just dropped new open source models 🔥 My colleague Logan spent his morning testing gpt-oss-20b - which runs on consumer hardware, is Apache 2.0 licensed, and the reasoning quality is solid. Also, full chain-of-thought access so you can see exactly how it's thinking. 111
Tuana @tuana.dev · 25/07/2025Ok this is prettyyy cool, another @llamaindex.bsky.social workflows implementation from @cle-does-things.bsky.social 👇 111
Tuana @tuana.dev · 23/07/2025Last week @cle-does-things.bsky.social and I created @llamaindex.bsky.social nodes for @n8n.io Here's what we got: · LlamaExtract: use extraction agents within n8n workflows · LlamaParse: parse complex documents · LlamaCloud: use your existing LlamaCloud indexes as knowledge bases within n8n 111
Tuana @tuana.dev · 14/07/2025A new walkthrough for a research agent using Llamaindex and Google Gemini, fresh out the oven. Given a topic: 🌎 Use Gemini 2.5 pro with its server side google search tool 📝 Create an agent that takes notes as it gets results from its websearch 122
Tuana @tuana.dev · 08/07/2025Watch as Claude acts as a document agent using LlamaCloud MCP tools to: - Query any index with custom parsing. - Use LlamaExtract agents to pull structured data based on LlamaCloud's schema. The demo features extraction agents for invoices and technical resumes. youtu.be/IL3CEONiDF4youtube.comRunning the Open-Source LlamaCloud MCP ServerIn this video, we run the open-source LlamaCloud MCP server which serves a few tools that we can add more to: - Tools to query any index in LlamaCloud - Tool... 121
Tuana @tuana.dev · 04/07/2025With all of this "context engineering" chatter, I've been thinking about how much of LLM performance hinges not just on model architecture, but on how you feed it context a lot lately. So, co-authored a piece on Context Engineering with Logan: Here it is: 🔗 www.llamaindex.ai/blog/contex...llamaindex.aiContext Engineering - What it is, and techniques to consider — LlamaIndex - Build Knowledge Assistants over your Enterprise DataLlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data. 100
Tuana @tuana.dev · 02/07/2025I like this new terminology around context engineering that's picking up. It's a good way to think about how to build actually effective agentic applications. 100
Tuana @tuana.dev · 30/06/2025Today we're announcing the first stable release of @llama_index workflows. A lightweight framework for building complex, multi-step agentic AI applications in Python and Typescript www.llamaindex.ai/blog/announ...llamaindex.aiAnnouncing Workflows 1.0: A Lightweight Framework for Agentic systems — LlamaIndex - Build Knowledge Assistants over your Enterprise DataLlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data. 120
Tuana @tuana.dev · 27/06/2025Since MCP there are questions about whether it removes the need for you to build your own RAG workflows with vector search. And my answer to that is: 100
Tuana @tuana.dev · 26/06/2025Last week, we concluded the @gradio-hf.bsky.social MCP hackathon with @hf.co. The project that one the @llamaindex.bsky.social prize was the "Nasa Space Explorer" 🔭🪐 3 servers that provide live data on: ☄️ Asteroids 🤖 the Mars Rover 🌌 Astronomy Here's the space: huggingface.co/spaces/Agen... 062
Tuana @tuana.dev · 26/06/2025Yesterday Zoom announced Zoom RTMS at the developer summit, which gives you real-time access to audio, video, and transcript data from Zoom Meetings. 110
Tuana @tuana.dev · 25/06/2025Tomorrow, I'm joining Laura for a discussion on memory. Note: not all applications that are 'agentic' necessarily _need_ memory. And what type of memory you need also depends on the use case. Join us at 10AM PT/7PM CET: lu.ma/t27lryiilu.maLlamaIndex Agent Memory: From Short-Term Storage to Intelligent Retention · LumaThe LlamaIndex team is leveling up memory for agents with their newest release: Improved Long & Short-Term Memory for LlamaIndex Agents Now, agents can… 000
Reposted by TuanaLlamaIndex @llamaindex.bsky.social · 12/06/2025Order Completion Agent with Artifact Editor by @tuana.dev: Fill out structured forms as the user talks! Checking the completeness along the way: ✅ ArtifactEditorToolSpec to define structured artifacts ✅ ArtifactMemoryBlock to track progress docs.llamaindex.ai/en/stable/e... 011
Tuana @tuana.dev · 11/06/2025🍕 Since the first @llamaindex.bsky.social office hours with Logan a specific use-case kept popping up: incremental "form filling". So, here's a pizzeria order taking assistant using just that with the new Artifact Memory Block and Artifact Editor Tool: colab.research.google.com/drive/13ORO... 011
Tuana @tuana.dev · 09/06/2025We’ve started to host more regular office hours now. Come along to ask anything LlamaIndex 👇 000
Tuana @tuana.dev · 05/06/2025I’m hosting a discussion session about the biggest blockers to productionizing AI agents at Snowflake Dev Day today. Come by to the Group By() space at 2PM to have a chat 🩵 000
Tuana @tuana.dev · 23/05/2025A new oss image generation agent by mu colleague Clelia, that doesn't _just_ generate images. Structured outputs with Google Gemini to check the generated image and evaluate whether it's ready for the user or not. The repo: github.com/run-llama/i... Her code-along: youtu.be/RCASiu5oj6c... 131
Reposted by TuanaLlamaIndex @llamaindex.bsky.social · 14/05/2025@tuana.dev's new code walkthrough shows how to implement citations and reasoning in LlamaExtract. Learn to define schemas, add citation capabilities, and understand agent reasoning for extractions. Watch here: youtu.be/01kM7tXRHi4 031
Tuana @tuana.dev · 07/05/2025LlamaExtract (by @llamaindex.bsky.social) allows you to turn on citations and reasoning to check: 1️⃣ The underlying models reasoning for the assignment and 2️⃣ The citations from the source document 📚 www.llamaindex.ai/blog/get-ci... 🧑🍳 docs.cloud.llamaindex.ai/llamaextrac... 010
Tuana @tuana.dev · 16/04/2025Numerous ways to build agents, numerous workflow patterns and applications. On April 29th we will be hosting a live session where we dive into @weaviate.bsky.social agents, how you can use them, and all of our future agentic plans! Join us 👇 www.linkedin.com/events/73157... 024
Tuana @tuana.dev · 05/03/2025Build a personal shopping assistant in less than 5 minutes with the new @weaviate.bsky.social Query Agent! 👩🍳 To get started, try out the recipe! You’ll end up building an e-commerce assistant agent: colab.research.google.com/github/weavi... 021
Tuana @tuana.dev · 26/02/2025In 2 weeks I will be attempting to “run” the Cambridge Half Marathon with my mum and aunt again and am raising funds for cancer research while doing so 🩵👇 PS: No I don’t have a pace aim.. I will crawl if necessary. fundraise.cancerresearchuk.org/page/tuanas-...fundraise.cancerresearchuk.orgPay me to Run(Türkçe aşağıda) EN: Me, my mum and my aunt are running the Cambridge Half together. Help me raise funds for cancer research on my third attempt! In memory of: Dave, Kevser, Ayşegül 🌹, Jill, Tamer,... 041
Tuana @tuana.dev · 20/02/2025There are valid concerns when it comes to how we use agents today and how we should prepare to use them in future. 1️⃣ AI agents as ‘research assistants’, 2️⃣ Agentic workflows, some involving human-in-the-loop systems. 3️⃣ Safety nets, such as ‘undo’. 051
Tuana @tuana.dev · 13/02/2025Agents can seem a bit like wizardry, so I've been working on an intro 💚 🧙 The way I like to explain it is by comparing most LLMs in agentic AI applications today to a wizard with a spell book (tools). It's been granted instructions for bunch of spells 🪄 Read on here: weaviate.io/blog/ai-agents 011
Reposted by TuanaBob van Luijt @bobvanluijt.bsky.social · 11/02/2025🙌 Join me this Thursday in London during a founder event where I’ll showcase @anthropic.com + @weaviate.bsky.social and where you can see other speakers from Raycast and Lovable! 👉 lu.ma/anthropicLON... 022
Tuana @tuana.dev · 06/02/2025I built a 'game recommender service' with the new @deepseek.bsky.social model using Ollama 🦙 and @weaviate.bsky.social 😈 Here's the recipe and the fancy graphic I created for it 🧑🍳: github.com/weaviate/rec... 010
Tuana @tuana.dev · 19/01/2025Stepping out of my usual content here and jumping in to Greek mythology. I’ve gotten really into it in the last few years and just finished Stone Blind by Natalie Haynes. Beautifully written. Would highly recommend this retelling of the story of Medusa. 111
Tuana @tuana.dev · 14/01/20252 pieces of content on the topic of LLM powered agents that I'd recommend: - The latest Latent Space episode by @swyx.io with @simon.fedi.simonwillison.net.ap.brid.gy - highly recommend! - The GoEX research paper. Late to the party on this one but the contents of it is more and more relevant today 251
