Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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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
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BasicAI Cloud
✓ verifiedFreemium
Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.
22K visits/mo
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Shaped AI
✓ verifiedFreemium
Managed AI ranking engine powering personalized search, recommendations, and feeds via a SQL-like query language.
88K visits/mo
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
Standard: usage-based, $500/month minimum
Storage: $0.20 per GB
Enrichment tokens: $2 per million tokens
Reads: $0.45 per thousand
Writes: $0.012 per thousand
Training & encoding: $6 per hour
Free trial available
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
- ✦ShapedQL SQL-style query interface for retrieval and ranking
- ✦Hybrid semantic and keyword search
- ✦Continuous learning from user feedback signals
- ✦30+ native data connectors for warehouses and streams
- ✦Sub-50ms query latency
- ✦Python and TypeScript SDKs plus MCP 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
- →Personalizing 'for you' content feeds
- →Building product recommendation systems
- →Powering RAG retrieval with behavioral ranking
- →Adding hybrid search to an e-commerce site
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