LlamaIndex offers LlamaExtract
Product
Schema-based structured data extraction from documents with confidence scores.
- Currently Offered
Schema-based structured data extraction from documents with confidence scores.
LlamaExtract is LlamaIndex's schema-based structured data extraction tool for documents. It enables users to define schemas and extract field-level data with confidence scores, citations, and traceability.
The product supports complex document types and provides enterprise-grade accuracy for automated data extraction workflows, making it suitable for financial, legal, and healthcare use cases.
Parallel Extract converts public URLs into markdown content or objective-focused excerpts.
Firecrawl Scrape gives AI teams a web extraction API that renders pages and returns structured content.
LangChain middleware that adds ScaleDown small language models to agents for summarization, compression and extraction.
Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.
Landing AI Agentic Document Extraction automates complex government document processing with vision-enabled AI agents.
Secure AI analysis workspace turning large volumes of reports, documents, and open-source information into structured, source-cited insight.
Cognee Company Brain turns company docs, chats, and code into one citable knowledge graph.
Context.dev Answers researches web questions and returns structured findings with source URLs.
ZeroEntropy's neural rerankers rescore search results to surface the most relevant documents for RAG pipelines.
Governed, citation-grounded assistant embedding Summarize, Analyze, and Create in public-safety workflows on Peregrine Foundation data.
Parallel FindAll builds verified entity datasets from natural-language criteria.
Pinecone Assistant is a managed RAG service for building production chat and agent applications from uploaded documents.
API that trains compact reusable memories on organizational context for agent inference.
Context.dev offers an API for structured data extraction.
Parallel Extract converts public URLs into markdown content or objective-focused excerpts.
Firecrawl Scrape gives AI teams a web extraction API that renders pages and returns structured content.
LangChain middleware that adds ScaleDown small language models to agents for summarization, compression and extraction.
Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.
Landing AI Agentic Document Extraction automates complex government document processing with vision-enabled AI agents.
Exa Agent API performs web research and returns cited structured results.
Secure AI analysis workspace turning large volumes of reports, documents, and open-source information into structured, source-cited insight.
Cognee Company Brain turns company docs, chats, and code into one citable knowledge graph.
Context.dev Answers researches web questions and returns structured findings with source URLs.
Parallel Task automates structured web research and data enrichment.
ZeroEntropy's neural rerankers rescore search results to surface the most relevant documents for RAG pipelines.
Governed, citation-grounded assistant embedding Summarize, Analyze, and Create in public-safety workflows on Peregrine Foundation data.
Agentic AI workspace for Excel automation and spreadsheet tasks.
Parallel FindAll builds verified entity datasets from natural-language criteria.
Pinecone Assistant is a managed RAG service for building production chat and agent applications from uploaded documents.
API that trains compact reusable memories on organizational context for agent inference.
Stores, indexes, and analyzes agency documents.
Exa Contents API retrieves web page contents for AI applications.