Hello, Llama Fans! 🦙
Welcome to this week’s edition of the LlamaIndex newsletter! We're excited to bring you several key updates: Learn about generating research paper reports using LlamaCloud and LlamaParse, which enables the synthesis of survey reports from the ArXiv knowledge base. We've also rolled out day-0 integration with Mistral's latest models, Mistral-3B and Mistral-8B, enhancing our computational capabilities. Additionally, checkout an interesting project on dynamic few-shot prompting that improves applications such as customer support and text-to-SQL by dynamically retrieving relevant examples.
If you haven't explored LlamaCloud yet, make sure to sign up and get in touch with us to discuss your specific enterprise use case.
🤩 The highlights:
- Research Paper Report Generation: Use LlamaCloud and LlamaParse to create a research agent that synthesizes survey reports of academic papers from ArXiv, employing a recursive agentic workflow for customized summaries. Cookbook, Tweet.
- Mistral Model Integration: We've launched day-0 integration with Mistral's latest edge models, Mistral-3B and Mistral-8B, enhancing our modeling capabilities. Tweet.
- Dynamic Few-Shot Prompting : Project by Rohan using LlamaIndex to improve tasks like customer support and text-to-SQL through dynamic retrieval of relevant examples tailored to incoming queries. Github Repo, Tweet.
🗺️ LlamaCloud And LlamaParse:
- Research paper report generation using LlamaCloud and LlamaParse: Showcases how to build a research agent that synthesizes survey report of papers from an ArXiv knowledge base, using a recursive agentic workflow to generate summary of the papers from a user-specified outline. Cookbook, Tweet.
✨ Framework:
- We have launched day-0 integration with Mistral latest edge models Mistral-3B and Mistral-8B. Tweet.
- MongoDB has integrated hybrid search for building RAG and Agentic applications with LlamaIndex. Blogpost, Tweet.
💡 Use-case:
- Rohan's project on dynamic few-shot prompting using LlamaIndex, demonstrating how to enhance LLM tasks like customer support and text-to-SQL by dynamically retrieving relevant examples based on queries. Github Repo, Tweet.
- Calsoft’s Agentic system for automated sales outreach, showcasing a streamlined process from prospect research to email generation with human-in-the-loop, using LlamaIndex. This system ingests prospect data, enriches it, queries a knowledge base for aligned information, generates, and sends personalized emails. Blog, Tweet.
- VividNode, a cross-platform desktop app that enables chatting with models like GPT, Claude, Gemini, and Llama. It features a chat interface, image generation capabilities with DALL-E 3, and advanced settings for privacy and convenience, all integrated with LlamaIndex. Github Repo, Tweet.
- Nile have built a full-stack demo application called TaskGenius using LlamaIndex that uses AI to estimate the complexity of your to-do list items, and shows off how you can handle multiple users with totally separate document databases and embeddings. Blog, Tweet.
✍️ Community:
- DBOS, Inc’s tutorial on How To Build a Serverless RAG Application with LlamaIndex in 9 Lines of Code.
- Fahd Mirza’s tutorial on Build Multimodal RAG Pipeline on Documents with Images and Text - LlamaCloud.
- Plaban Nayak’s tutorial on Implementing Advanced RAG using LlamaIndex Workflow and Groq.
- Hanane Dupouy’s tutorial on using LlamaParse Premium mode in Financial Analysis.
- Farzad’s tutorial on Contextual Retrieval for Multimodal RAG with Azure AI Search, Azure OpenAI, and Arize Phoenix with LlamaIndex.
- SkySQL’s tutorial on Building a Gen AI app in minutes with SkySQL, MariaDB Vector, and LlamaIndex.
👥 Recruitment:
- We are actively seeking talented individuals for our team at LlamaIndex. If you believe you are a good fit for any of the following roles, please feel free to reach out to us.