LlamaIndex 周报：LlamaExtract Beta 发布，支持结构化数据抽取

Hello, Llama Enthusiasts! 🦙

Welcome to this week’s edition of the LlamaIndex newsletter! We’re excited to bring you the latest updates on our products, including LlamaParse and LlamaExtract, comprehensive guides, detailed tutorials, and upcoming webinars.

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🤩 The highlights:

1. LlamaExtract Beta Launched: Our managed service for structured data extraction from unstructured documents, enhancing RAG and agent pipelines via both UI and API. Blogpost, Tweet.
2. Structured Extraction for LLM-powered Pipelines: Structured extraction capabilities for ETL, RAG, and agent workflows, featuring asynchronous operations and streaming. Integrate a Pydantic object with your LLM for structured extraction at the chunk or document level with real-time JSON output visualization. Docs, Tweet.

✨ Feature Releases and Enhancements:

1. We have launched LlamaExtract as an early preview of our managed service for structured data extraction from unstructured documents, enhancing RAG and agent pipelines, now available in beta via UI and API. Blogpost, Tweet.
2. We have launched structured extraction for LLM-powered ETL, RAG, and agent pipelines, featuring full support for asynchronous operations and streaming. Simply integrate a Pydantic object with your LLM using as_structured_llm(…), enabling chunk-level or document-level structured extraction and real-time JSON output visualization. Docs, Tweet.
3. We have integrated with Ollama for tool calling. This let’s you build agents with local models like llama3.1. Docs, Tweet.
4. We have day-0 support for building LLM applications with Mistral Large-2. Tweet.

🗺️ Guides:

• Guide to Automated Structured Extraction for RAG to improve retrieval and synthesis in RAG pipelines with LlamaExtract by defining schemas and extracting metadata for richer context.

✍️ Tutorials:

• Laurie Voss’s tutorial on LlamaParse: simplified document parsing for generative AI applications.
• PromptEngineer’s tutorial on Multi-modal RAG: Chat with Docs containing Images.
• kingzzm’s tutorial on Evaluating RAG? LlamaIndex is All You Need.
• Avi Kumar Talaviya’s tutorial on Building Natural Language to SQL Applications using LlamaIndex.
• Pavan Belagatti’s tutorial on Building Multi AI Agent Systems Using LlamaIndex and Crew AI.
• Fahd Mirza’s tutorial on Implementing GraphRAG locally by LlamaIndex.

🎤 Webinars:

• Webinar with ColPali authors on Efficient Document Retrieval with Vision Language Models.