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Ragatouille vs CoreWeave

Side-by-side comparison of features, pricing, and ratings

Ragatouille
Ragatouille

Easily use and train state-of-the-art late-interaction retrieval (ColBERT) in any RAG pipeline.

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CoreWeave
CoreWeave

AI-native cloud platform with NVIDIA Blackwell GPUs for large-scale training and inference.

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Pricing
Free
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Plans
Free
$42.00/hr on-demand, $10.50/hr inference single GPU
$35.84/hr spot
$68.80/hr on-demand
Contact for pricing (up to 47% TCO savings)
Contact for pricing
Contact for pricing
Popularity
6.5k views
6.9k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPICLI
Categories
💻 Code & Development📊 Data & Analytics🔬 Research & Education
💻 Code & Development📊 Data & Analytics🔬 Research & Education
Features
Use and train ColBERT models with simple API
Late-interaction retrieval for better generalization
Built-in TrainingDataProcessor with hard negative mining
Automatic data deduplication and triplet conversion
Embed documents and create search indexes
Retrieve documents with ColBERT ranking
Zero-shot retrieval in new domains
Data-efficient training with small datasets
Fine-tune on non-English languages with low data
Modular components usable standalone (DataProcessor, negative miners)
Train with pairs, labelled pairs, or triplets
ColBERTv2 zero-shot performance out of the box
Customizable defaults for advanced users
Supports WSL2 on Windows (limited)
Runs inside scripts with __name__ guard
NVIDIA Blackwell GPU instances (GB300 NVL72, GB200 NVL72, HGX B300, HGX B200)
NVIDIA Hopper GPU instances (H100, H200)
NVIDIA Ada Lovelace GPU instances
Bare metal and virtualized compute options
Managed Kubernetes (CKS) orchestration
High-performance AI object storage with zero egress fees
Distributed file storage (VAST, Local Storage)
SUNK runtime acceleration for serverless reinforcement learning
Tensorizer for model optimization and compression
Mission Control fleet and node lifecycle management with observability and security audit
CoreWeave ARENA for pre-production workload validation on real hardware
CoreWeave Sandboxes for isolated RL, agent tool use, and model evaluation
CoreWeave Zero Egress Migration (0 EM) with expert-led transfers
High-bandwidth InfiniBand networking
Capacity plans with up to 47% TCO savings (validated by Futurum Signal65)
Integrations
Python (pip install)
LlamaIndex (via external integration)
LangChain (via external integration)
Wandb (for tracking training data versions)
DVC (for versioning training data)
NVIDIA (Blackwell, Hopper, Ada Lovelace, InfiniBand)
VAST Data
Kubernetes (CKS)
SUNK
Tensorizer
Red Hat (AI Inference on CKS)