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LlamaIndex πŸ¦™

@llama_index

The way to connect LLMs to your data.

Github: github.com/run-llama/llam…
Docs: docs.llamaindex.ai
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ID: 1604278358296055808

linkhttps://www.llamaindex.ai/ calendar_today18-12-2022 00:52:44

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Simple to Complex Agentic RAG Crash Course over your PDFs πŸ”₯ This blog post by Sulaiman Shamasna gives you a comprehensive tour through building agentic RAG over your PDFs, starting with individual components (routing, tool use, multi-step reasoning), and expanding into full

Simple to Complex Agentic RAG Crash Course over your PDFs πŸ”₯

This blog post by Sulaiman Shamasna gives you a comprehensive tour through building agentic RAG over your PDFs, starting with individual components (routing, tool use, multi-step reasoning), and expanding into full
Jerry Liu (@jerryjliu0) 's Twitter Profile Photo

I’ve noticed that the majority of RAG and agent use cases are internal-facing (internal enterprise search, research, etc.). What I like about this case study collab with GymNation is they were able to deploy AI agents for a range of different external use cases and quantify

I’ve noticed that the majority of RAG and agent use cases are internal-facing (internal enterprise search, research, etc.). What I like about this case study collab with <a href="/GymNation_ME/">GymNation</a> is they were able to deploy AI agents for a range of different external use cases and quantify
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Building a Hybrid PDF+SQL agent from scratch πŸ€– This notebook shows you how to build a custom agent that can either query your unstructured data retriever (courtesy of LlamaCloud) or a SQLite database of structured data. Use our event-driven workflows to define an agent system

Building a Hybrid PDF+SQL agent from scratch πŸ€–

This notebook shows you how to build a custom agent that can either query your unstructured data retriever (courtesy of LlamaCloud) or a SQLite database of structured data.

Use our event-driven workflows to define an agent system
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Building a knowledge slackbot over Notion with Llama 3.1 πŸ”₯ This video by Jason Zhou is a great overview of Llama 3.1’s innate tool calling abilities, as well as the full sequence of steps needed to create a full functioning agentic Slackbot: 1. Setup a connection to Notion

Building a knowledge slackbot over Notion with Llama 3.1 πŸ”₯

This video by <a href="/jasonzhou1993/">Jason Zhou</a> is a great overview of Llama 3.1’s innate tool calling abilities, as well as the full sequence of steps needed to create a full functioning agentic Slackbot:
1. Setup a connection to Notion
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A big category of β€œadvanced RAG” applications is to expand the output to be a unit of knowledge work, beyond an unformatted chatbot response. More specifically, this β€œunit” can be a full research report, slide deck, or Excel spreadsheet. This has been a big topic of interest to

A big category of β€œadvanced RAG” applications is to expand the output to be a unit of knowledge work, beyond an unformatted chatbot response. More specifically, this β€œunit” can be a full research report, slide deck, or Excel spreadsheet.

This has been a big topic of interest to
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An underrated part of the LlamaIndex πŸ¦™ ecosystem is LlamaTrace - a full-blown observability and evaluation solution in partnership with Arize AI, that’s currently completely free for any developer to signup and use! πŸ’« For instance, check out this blog by Farzad Sunavala that shows

An underrated part of the <a href="/llama_index/">LlamaIndex πŸ¦™</a> ecosystem is LlamaTrace - a full-blown observability and evaluation solution in partnership with <a href="/arizeai/">Arize AI</a>, that’s currently completely free for any developer to signup and use! πŸ’«

For instance, check out this blog by <a href="/farzad528/">Farzad Sunavala</a> that shows
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Auto-Document Retrieval πŸ“‘ It increasingly makes sense to retrieve entire documents instead of chunks for RAG - but given a large set of documents, how do you retrieve the right ones? This notebook shows you how to combine the benefits of RAG with structured querying to more

Auto-Document Retrieval πŸ“‘

It increasingly makes sense to retrieve entire documents instead of chunks for RAG - but given a large set of documents, how do you retrieve the right ones?

This notebook shows you how to combine the benefits of RAG with structured querying to more
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Get LLMs to generate a PowerPoint deck from your speaker notes! This is a great example of how LLMs can free you up from mechanical work to spend more time on creativity. Built in pure TypeScript by Laurie Voss, this app: πŸ“ Summarizes your speaking notes into slides πŸ–₯️ Generates

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Learn how to build LlamaIndex Workflows in this event from AI Makerspace! πŸš€ Learn how workflows' Event-Driven Architecture (EDA) produces more effective agent implementations: πŸ”Ή Understand the differences between pipeline, graph, and event-driven approaches πŸ”Ή Master core

Learn how to build LlamaIndex Workflows in this event from <a href="/AIMakerspace/">AI Makerspace</a>! πŸš€

Learn how workflows' Event-Driven Architecture (EDA) produces more effective agent implementations:

πŸ”Ή Understand the differences between pipeline, graph, and event-driven approaches
πŸ”Ή Master core
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How to evaluate your RAG pipeline for financial reports using LlamaIndex and Giskard πŸ“ŠπŸ” In this guide, learn to assess the performance of your Retrieval-Augmented Generation system: πŸ”Ή Generate diverse test questions automatically πŸ”Ή Evaluate RAG components: Generator,

How to evaluate your RAG pipeline for financial reports using LlamaIndex and <a href="/giskard_ai/">Giskard</a> πŸ“ŠπŸ”

In this guide, learn to assess the performance of your Retrieval-Augmented Generation system:

πŸ”Ή Generate diverse test questions automatically
πŸ”Ή Evaluate RAG components: Generator,
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πŸ™Œ Join us for a deep dive and live Q&A on the NVIDIA and LlamaIndex πŸ¦™ #DevContest 🌟 πŸ“† Sept 5 at 9 a.m. PT πŸ“ On Discord: nvda.ws/3MydIYA We'll cover all the details and resources you will need -- whether you're an experienced developer or new to NVIDIA and LlamaIndex.

πŸ™Œ Join us for a deep dive and live Q&amp;A on the NVIDIA and <a href="/LlamaIndex/">LlamaIndex πŸ¦™</a> #DevContest 🌟

πŸ“† Sept 5 at 9 a.m. PT
πŸ“ On Discord: nvda.ws/3MydIYA

We'll cover all the details and resources you will need -- whether you're an experienced developer or new to NVIDIA and LlamaIndex.
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In our latest case study, see how Netchex used LlamaIndex to create AskHR + Netchex AI, revolutionizing employee support for small to medium-sized businesses. πŸš€ Developed by just two engineers in one month πŸ€– Implements advanced RAG pipelines for context-aware responses πŸ“Š

In our latest case study, see how <a href="/Netchex/">Netchex</a> used LlamaIndex to create AskHR + Netchex AI, revolutionizing employee support for small to medium-sized businesses.

πŸš€ Developed by just two engineers in one month
πŸ€– Implements advanced RAG pipelines for context-aware responses
πŸ“Š
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create-llama remains the best way to go from zero to sixty in LlamaIndex, with a ton of templates to match your use-case. Our latest addition is a multi-agent workflow in Python! The example flow uses three agents to generate a blog post: ⭐️ a researcher the retrieves content

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Announcing the launch of llama-deploy, our system for deploying microservices based on LlamaIndex Workflows! We've learned a lot in the last few months since llama-agents and Workflows were released and this is a major step forward in our evolution: ➑️ Seamless deployment of

Announcing the launch of llama-deploy, our system for deploying microservices based on LlamaIndex Workflows!

We've learned a lot in the last few months since llama-agents and Workflows were released and this is a major step forward in our evolution:

➑️ Seamless deployment of
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If you want to see an end-to-end example of deploying an agentic system as microservices using llama-deploy, Logan Markewich has got you! This open-source full-stack example shows how to build an agentic chatbot system using Reflex as the front-end framework and LlamaIndex

If you want to see an end-to-end example of deploying an agentic system as microservices using llama-deploy, <a href="/LoganMarkewich/">Logan Markewich</a> has got you!

This open-source full-stack example shows how to build an agentic chatbot system using <a href="/getreflex/">Reflex</a> as the front-end framework and LlamaIndex
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Learn to build advanced agentic RAG pipelines with LlamaIndex and Amazon Bedrock! Go step by step: πŸ” Create a RAG pipeline using Amazon Bedrock models and top-k vector search 🧠 Implement dynamic query routing for semantic search or summarization πŸ”€ Use query decomposition to

Learn to build advanced agentic RAG pipelines with LlamaIndex and Amazon Bedrock! 

Go step by step:
πŸ” Create a RAG pipeline using Amazon Bedrock models and top-k vector search
🧠 Implement dynamic query routing for semantic search or summarization
πŸ”€ Use query decomposition to
Jerry Liu (@jerryjliu0) 's Twitter Profile Photo

We’ve made a huge new release that lets you build a multi-agent application in one CLI command πŸ”₯ This template creates an agentic report generation system consisting of a researcher, writer, and reviewer. Every agent step is streamed through to the UI along with the inputs and

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Automating quarterly/annual financial analysis with agentic workflows πŸ“ˆπŸ€– This blog post by ManthaPavanKumar shows you how to build a simple agentic summarization system that can perform analysis on each financial quarter and then aggregate the results together to produce a

Automating quarterly/annual financial analysis with agentic workflows πŸ“ˆπŸ€–

This blog post by <a href="/pavan_mantha1/">ManthaPavanKumar</a> shows you how to build a simple agentic summarization system that can perform analysis on each financial quarter and then aggregate the results together to produce a