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Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation