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:
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:
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.
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.
It's definitely not just OCR - it's using vision as compression. 10x token reduction while maintaining accuracy.
It's definitely not just OCR - it's using vision as compression. 10x token reduction while maintaining accuracy.
At LlamaIndex, we've been experimenting with using coding agents like Cursor and Claude Code to speed up build agentic workflows themselves + their UIs
At LlamaIndex, we've been experimenting with using coding agents like Cursor and Claude Code to speed up build agentic workflows themselves + their UIs
Last week we released vibe-llama, a tool developed by @cle-does-things.bsky.social
Last week we released vibe-llama, a tool developed by @cle-does-things.bsky.social
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.
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.
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.
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.
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
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
🌎 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
🌎 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
3 servers that provide live data on:
☄️ Asteroids
🤖 the Mars Rover
🌌 Astronomy
Here's the space: huggingface.co/spaces/Agen...
3 servers that provide live data on:
☄️ Asteroids
🤖 the Mars Rover
🌌 Astronomy
Here's the space: huggingface.co/spaces/Agen...
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...
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...
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...
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...
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...
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...
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...
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...
👩🍳 To get started, try out the recipe! You’ll end up building an e-commerce assistant agent: colab.research.google.com/github/weavi...
👩🍳 To get started, try out the recipe! You’ll end up building an e-commerce assistant agent: colab.research.google.com/github/weavi...
1️⃣ AI agents as ‘research assistants’,
2️⃣ Agentic workflows, some involving human-in-the-loop systems.
3️⃣ Safety nets, such as ‘undo’.
1️⃣ AI agents as ‘research assistants’,
2️⃣ Agentic workflows, some involving human-in-the-loop systems.
3️⃣ Safety nets, such as ‘undo’.
🧙 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
🧙 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
😈 Here's the recipe and the fancy graphic I created for it
🧑🍳:
github.com/weaviate/rec...
😈 Here's the recipe and the fancy graphic I created for it
🧑🍳:
github.com/weaviate/rec...
Beautifully written. Would highly recommend this retelling of the story of Medusa.
Beautifully written. Would highly recommend this retelling of the story of Medusa.