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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Agentset logo
Agentset
✓ verifiedFreemium

Open-source RAG infrastructure with SDKs and an API for developers to build accurate, cited AI chat and search on their own data.

24K visits/mo
40K visits/mo
BasicAI Cloud logo
BasicAI Cloud
✓ verifiedFreemium

Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.

22K visits/mo
FormulasHQ logo
FormulasHQ
✓ verifiedPaid

Generates Excel/Sheets formulas, VBA, and scripts.

20K visits/mo9.3K saves
Pricing
Free: $0 (1,000 pages, 10,000 retrievals)
Pro: $49/mo (10,000 pages, unlimited retrievals)
Development: Free
Standard: Starting from $68/month
Enterprise: Limited-time offer

No public pricing

Formula Pro: $599 per month
Yearly Pro: $433 per month
Basic: $0 per month
Core features
  • Managed RAG pipeline (extraction, chunking, retrieval)
  • Automatic source citations
  • Multimodal support (images, tables, graphs)
  • Model-agnostic: choose vector DB, embeddings, LLM
  • Metadata filtering
  • MCP server and AI SDK integration
  • 22+ file-format ingestion
  • Fully SQL-compatible vector database
  • Fast and powerful queries (vector search, text search, filtered search, complex queries)
  • Enhanced RAG effectiveness
  • High-performance and cost-efficient MSTG vector engine
  • SQL/Relational Vector Database
  • Powerful Full-Text Search (BM25)
  • Integrates with AI Stack
  • Security and Compliance (SQL-based RBAC, SOC 2, ISO 27001 Compliance)
  • AI-assisted data annotation tools
  • Training-data platform (BasicAI Cloud)
  • Team and project management
  • Annotation services
  • AI-powered Excel and Google Sheets formula generation
  • VBA & Apps Script generation
  • Regular Expression generation and explanation
  • ChatGPT messaging with system prompts
  • Multiple language support
Use cases
  • Build a chatbot over private documents
  • Add semantic or deep search to an app
  • Ground answers in a large corpus with citations
  • Ship production RAG without building it in-house
  • RAG for Domain Knowledge Base
  • Recommendations
  • Chatbot
  • Image Search
  • Labeling images and data for ML models
  • Managing annotation teams and projects
  • Producing training datasets at scale
  • Financial modeling
  • Data cleansing and transformation
  • Statistical analysis
  • Inventory and supply chain management
  • Forecasting
  • Automating repetitive tasks
  • Generating copy for outbound sales campaigns
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