LlamaIndex vs Pathway Live Data Framework

LlamaIndex is a freemium platform for developers and enterprises automating document processing and AI workflows. LlamaParse handles more than 50 unstructured file types, including files with embedded images, complex layouts, multi-page tables and handwritten notes. Schema-based, language-model extraction agents convert unstructured content into structured insights without training. Workflows can divide documents into logical sections and classify them using natural-language descriptions and rules. Chunking and embedding pipelines support indexing and retrieval in RAG workflows. Community integrations cover data loaders, agent tools, language models, vector stores, observability and application frameworks. LlamaCloud connectors currently include Google Drive, SharePoint, S3 and Confluence. Free and Starter plans allow five concurrent parse, extract, classify and split jobs; Pro allows 20 and Enterprise 100. The Free plan has no listed price; Starter costs $50.00 per month. LlamaParse is commercial, while LlamaIndex and Workflows are open-source.

Pathway Live Data Framework is a Python framework for building analytics and AI pipelines across stored data and live streams. One pipeline can handle batch processing or streaming ETL, while Differential Dataflow updates results when events arrive out of order. Its Rust processing engine runs Python with multithreading and multiprocessing. AI tooling covers online machine learning, retrieval-augmented generation pipelines, and vector indexes for current data. Documentation lists more than 350 connectors, including SharePoint, and allows custom connectors. Python and SQL programming APIs are available, along with a REST endpoint for serving queries, answers, and real-time features. Deployments can use Docker or Kubernetes and work with OpenTelemetry. Pathway can preserve computation state for recovery. Community is free, self-hosted, and limited to 8 GB RAM and four cores; Scale is free or paid with a license key.