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Pine Script Wizard AI
✓ verifiedPaid
AI Pine Script generator for TradingView strategies and indicators.
9.8K visits/mo4.4K saves
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Vespa
✓ verifiedFree trial
Open-source AI search and vector database platform for building large-scale search, RAG, and recommendation systems.
Pricing
No public pricing
No public pricing
Free: $0
Basic: $16 per month
Pro: $90 per month
Ultra: $299 per month
Paid Account: $9 USD
No public pricing
Free trial available
Core features
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- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦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
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦Combined vector, text, and structured search
- ✦Distributed machine-learned ranking at query time
- ✦Streaming search mode for cost-efficient personal/private data
- ✦Support for retrieval-augmented generation pipelines
- ✦Continuous deployment and automated scaling
- ✦Open-source core with a managed cloud option
Use cases
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- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Lead generation and qualification
- →E-commerce sales assistance
- →Healthcare patient support
- →SaaS customer service
- →Banking assistance
- →Retail personalized shopping
- →Hospitality concierge services
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Building large-scale enterprise search engines
- →Powering RAG pipelines that need strong retrieval relevance
- →Building recommendation and ad-targeting systems
- →Search over personal/private data at lower indexing cost
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