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Prompt engineering, management, and LLM observability platform.
Chat-with-documents tool that summarizes and answers questions across PDFs, Office files, websites and YouTube; free tier plus plans.
Free AI summarizer that condenses YouTube videos, web articles, arXiv papers, and Reddit threads into key-point summaries.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
- ✦Chat with PDFs and Office documents
- ✦Website, sitemap and YouTube ingestion
- ✦Automated summaries and Q&A
- ✦Reference and quote extraction
- ✦Multi-document conversations
- ✦Chat history and workspaces
- ✦YouTube video summarization with key-point extraction
- ✦Web article and arXiv paper summarization
- ✦Reddit thread summarization
- ✦Flashcard generation from summarized content
- ✦Shareable summary formats
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team
- →Research and literature review
- →Legal document analysis
- →Document summarization and Q&A
- →Project knowledge lookup
- →Students condensing long lecture videos into study notes
- →Researchers quickly reviewing arXiv papers
- →Professionals skimming long YouTube tutorials for key points
- →Content teams summarizing Reddit discussions for trend research
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents