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LlamaIndex
✓ verifiedFreemium
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
455K visits/mo1.9K saves
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PromptLayer
✓ verifiedFree
Prompt engineering, management, and LLM observability platform.
212K visits/mo
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Krira Labs
✓ verifiedPaid
Generative-AI infrastructure startup building production RAG pipelines, fine-tuning, and agentic systems for developers.
Pricing
No public pricing
No public pricing
No public pricing
Free: $0
Basic: $16 per month
Pro: $90 per month
Ultra: $299 per month
No public pricing
Core features
- ✦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
- ✦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
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
- ✦Custom AI chatbot creation
- ✦Data-driven training (URLs, PDFs, CSVs, Q&A)
- ✦Multi-language support (90+ languages)
- ✦Integration with CRMs, APIs, and tools like Zapier & Google Drive
- ✦Human handoff feature
- ✦Actions & Automation
- ✦End-to-end RAG pipeline engine
- ✦Rust-based document chunking
- ✦Model fine-tuning (low-rank adaptation)
- ✦Autonomous multi-agent systems
- ✦Model Context Protocol integration
- ✦Integrated coding/dev tools
Use cases
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →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
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
- →Lead generation and qualification
- →E-commerce sales assistance
- →Healthcare patient support
- →SaaS customer service
- →Banking assistance
- →Retail personalized shopping
- →Hospitality concierge services
- →Building RAG-based applications
- →Fine-tuning models to a domain
- →Multi-agent reasoning systems
- →Enterprise AI application infrastructure
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