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llamaindex.bsky.social
LlamaIndex
@llamaindex.bsky.social
Build AI agents over your documents
🚀 The @posthog.com team has just rolled out LlamaIndex support for their LLM Analytics, and we built a demo to showcase what’s possible.
Using LlamaIndex, LlamaParse, and OpenAI, our Agent Workflow compares product specifications and matches users with the most suitable option for their use case 🛠️
February 13, 2026 at 5:02 PM
Fuel up for hackathon success with free breakfast at the same bakery that fed the winning Superbowl team! 🥐

We're teaming up with @kilocode, @MiniMax_AI, and @withmartian to host breakfast for all @DeveloperWeek attendees next week in San Jose.

Sign up for free breakfast: luma.com/devchampions
Breakfast of Dev Champions · Luma
Fun fact: When the Seahawks came to town and won the Super Bowl, this bakery 🥐 was their favorite breakfast spot. We're not saying breakfast there will make…
luma.com
February 12, 2026 at 11:00 PM
2026 is the year of long-horizon agents. @sequoia predicts that this year, agents will be able to tackle long-horizon tasks and work autonomously for hours to solve ambiguous tasks.
February 12, 2026 at 4:58 PM
The rise of coding agents is fundamentally changing open source - Our head of OSS @LoganMarkewich breaks down how LLM-powered coding agents are impacting core pillars of open source:

👥 Community interaction, which is getting complicated by low-quality, massive AI-generated PRs
February 11, 2026 at 5:04 PM
Are you trying to solve high-quality document ingestion for your product?

Catch lessons from the field on how @stackai uses LlamaCloud to power high-accuracy document ingestion & retrieval across PDFs, images, spreadsheets & more — at enterprise scale.
February 10, 2026 at 4:28 PM
Everybody’s talking about OpenClaw, so @cle-does-things.bsky.social decided to build her own crustacean AI assistant for document workflows: LobsterX 🦞
February 9, 2026 at 5:04 PM
LlamaExtract citations just got an upgrade: we now show you exactly where extracted data comes from in your documents with new citation bounding boxes 🎯

This citations upgrade gives you visual proof of where each field originates:
February 6, 2026 at 5:18 PM
Kicking off the Document Agent Olympics. Build a document agent - Win $200 🥇
February 5, 2026 at 5:04 PM
Ready to master production-grade multi-agent AI systems in one intensive day? 🚀
February 4, 2026 at 8:03 PM
Confused about whether to use Skills or MCP tools for your AI agents? We break down the key differences and when to use each approach.
February 3, 2026 at 6:13 PM
We just built a Private Equity Assistant using our new LlamaAgents framework, powered by the newly released LlamaCloud SDK.
It can:
📊 Turn portfolio spreadsheets into structured, LLM-ready data with LlamaSheets
📂 Classify investor decks and extract key details with LlamaClassify and LlamaExtract
January 30, 2026 at 5:03 PM
Announcing the semtools v2 release 🔥
We’ve fully migrated semtools to the new LlamaParse v2 API. This update gives you more fine-grained control over inputs, outputs, and processing configurations, along with tiered, high-level presets that make it easy to leverage optimized configurations.
January 29, 2026 at 8:06 PM
Built a vibe-coded presentation app generator that turns natural language into polished slides ✨

This project by @jerryjliu0 combines the Claude Agent SDK with LlamaParse to create an AI-powered presentation tool that handles everything from content creation to PDF export:
January 29, 2026 at 5:02 PM
We're launching LlamaAgents Builder today—a new way to build document processing agents 🔥
January 28, 2026 at 6:10 PM
Last chance to sign up for our webinar on LlamaSheets on January 29th at 11 AM PT.

Transform messy Excel files into AI-ready data with LlamaSheets - our workshop shows you how to parse complex spreadsheet structures that traditional tools miss.
January 27, 2026 at 8:03 PM
Don't drown in repetitive document processing tasks - build AI agents that can split, extract, and orchestrate complex document workflows at scale.
January 27, 2026 at 5:04 PM
New AI Leader Series 🎥

@Experian_US 's Head of AI/ML Innovation James Lin shares why his team chose LlamaIndex to build AI customer support agents designed to improve NPS — and what mattered most in production.

Watch → www.youtube.com/watch?v=bz5...

#AIAgents #EnterpriseAI #LlamaIndex
How Experian Built AI Customer Support Agents that Boosted NPS
In this segment of LlamaIndex's AI Leader Series we speak with James Lin, Head of AI/ML Innovation at Experian about how his team built customer support agen...
www.youtube.com
January 26, 2026 at 5:00 PM
We’ve fully revamped our LlamaCloud integration with @n8n.io as part of the LlamaParse v2 + new LlamaCloud SDK launch.
What’s new:
✅ Fully stable nodes for LlamaParse, LlamaExtract, and LlamaCloud Index
🆕 Two new services: LlamaClassify and LlamaSheets
📘 A complete step-by-step setup guide
January 23, 2026 at 5:07 PM
New LlamaParse v2 API + New SDKs for LlamaCloud are here 🦙

LlamaParse API v2 is here with cleaner configuration, structured outputs, as well as brand new llama-cloud SDKs for Python and Typescript 🚀
January 22, 2026 at 5:04 PM
Congratulations to DungeonMaster AI by @bhupeshsf for winning the MCP hackathon using LlamaIndex! 🎉

One of the closing hackathons of 2025 was to celebrate the first year of MCP with @huggingface!
January 19, 2026 at 6:06 PM
Files are becoming the primary interface for AI agents to manage context, store conversations, and access skills 📁

@jerryjliu0 breaks down how coding agents like Claude Code and @cursor_ai are centralizing around filesystems as core abstractions, moving away from complex tool ecosystems:
January 15, 2026 at 5:02 PM
Context engineering isn't just about throwing more data at your LLM - it's about giving it the right context at the right time.
January 14, 2026 at 5:03 PM
Can filesystem tools replace vector search? @cle-does-things.bsky.social tested agentic search vs RAG:

🏃 RAG: faster (by 3.81s)
🎯 Filesystem agents: more accurate (+2 points)
📈 Scale matters: RAG wins at 100-1000 docs
⚖️ Context is key

Verdict: depends on use case

www.llamaindex.ai/blog/did-fi...
Did filesystem tools kill vector search?
Letting LLMs explore filesystems with simple tools can outperform RAG on small datasets by reducing context loss and improving answer quality. In experiments, file-based agents were slower but more accurate than RAG when working with a few full papers. At larger scales, RAG proved faster and more reliable, making the trade-off largely about dataset size and latency needs.
www.llamaindex.ai
January 13, 2026 at 5:01 PM
Tired of wrestling with messy Excel files that break traditional parsers? 📊

Join our workshop on January 29th at 11 AM PT to see how LlamaSheets transforms chaotic spreadsheets into clean, AI-ready Parquet files while preserving all the context that matters.
January 12, 2026 at 4:57 PM
A problem we see often: long documents with different pieces of repeating content. Example: a resume book with a cover page, a few pages about student curriculums, then back to back resumes
January 9, 2026 at 5:12 PM