Forward Future Tools Library
VAST Insight Engine
VAST InsightEngine builds real-time AI pipelines for ingesting, embedding, governing, and retrieving enterprise data, with a focus on RAG and other AI workloads.
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›What is VAST Insight Engine?
VAST InsightEngine is a data platform capability for secure data ingestion, processing, retrieval, and inference. It uses NVIDIA inference microservices to embed incoming data and stores file, object, or table data in VAST DataBase for AI retrieval. The platform also automates workflows from ingest through inference.
›What are the pros and cons of VAST Insight Engine?
Strengths
Connects data ingestion, processing, retrieval, and inference in one pipeline
Supports real-time RAG workflows with current data
Works across file, object, and table data
Uses NVIDIA NIM microservices for embedding and inference
Includes governance and security controls for AI pipelines
Trade-offs
The platform uses enterprise-custom pricing rather than a self-serve plan
The software subscription is separated from hardware procurement, requiring a separate hardware purchase
Reviews of VAST deployments report write performance below read performance and identify read/write ratio limitations
›What are VAST Insight Engine’s key features?
Real-time AI pipelines from data ingest to inference
Secure data ingestion, processing, and retrieval
Retrieval-augmented generation using current enterprise data
NVIDIA NIM inference microservices for embedding and inference
Storage of file, object, and table data in VAST DataBase
Unified governance and security for AI workflows
›What are the best use cases for VAST Insight Engine?
Build RAG systems that retrieve current enterprise data
Embed incoming files, objects, and tables for AI inference
Create automated pipelines for data ingestion, processing, and inference
Prepare up-to-date data for AI training and fine-tuning
Run machine learning and scientific computing workloads
›What is the pricing for VAST Insight Engine?
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›Who is VAST Insight Engine best for?
enterpriseEnterprise organizations with large AI workloads can use it to connect governed data pipelines to RAG and inference.
developersDevelopers building retrieval and inference systems get NVIDIA NIM integration and support for multiple data types.
data scientistsData scientists working with machine learning, scientific applications, or continuously changing data can use its ingest and retrieval pipelines.
Not for
- Small teams seeking a self-serve analytics tool with published plan pricing should look elsewhere.
- Organizations that want software and infrastructure purchased through a single bundled product may not suit the separate hardware procurement model.
›What’s new with VAST Insight Engine?
- VAST released InsightEngine for real-time retrieval-augmented generation and secure AI data ingestion2024-10 · source
›What are the best VAST Insight Engine alternatives?
DatabricksChoose this instead if you need a broader cloud platform for data engineering, data science, and machine learning.→
LangChainChoose this instead if your priority is composing LLM and RAG applications in a developer framework.→
Together AIChoose this instead if you need an AI acceleration cloud focused on model training and inference.→
Kayak.ai→