LlamaIndex vs Microsoft

Document parsing for LLM pipelines: layout-aware, agentic extraction that turns PDFs, contracts and forms into structured text a retrieval system can index, with an LLM or VLM reading the page when basic parsing is not enough.

LlamaIndex's open-source document parser, published on GitHub for teams that want parsing in their own process rather than through LlamaCloud.

The open-source framework the company is named for: SDKs for building context-aware agents over a company's own data, with Workflows for orchestration.

Extracts structured data from complex documents using custom schemas, with field-level confidence scores and citations back to source.

The indexing half of LlamaCloud: intelligent chunking and embedding that turns parsed documents into a searchable knowledge base for agents.

Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.

Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.

Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.

Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.

Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.

NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.

End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.

Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.

Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.

Real-time and batch text translation API supporting 100+ languages.

Image analysis, OCR, spatial analysis and face detection as an Azure API service.

Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.

Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.

Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.

Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.

AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.

Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.

Coding assistant and agent inside the editor, the CLI and GitHub itself.

Enterprise retrieval service providing hybrid keyword and vector search plus RAG grounding over an organisation's own data, also surfaced inside Microsoft Foundry as Foundry IQ.