Instill Core is a full-stack AI solution designed to streamline data operations and unlock the potential of unstructured data with a single line of code. It addresses challenges in building RAG pipelines such as complex data cleaning, broken data flows, inaccurate LLM answers, scaling issues, high costs, and fragmented tools. Instill Core's key features include Instill Catalog, which converts various data types into a unified, AI-ready format; simple APIs for precise data retrieval; flexible model switching; unstructured data ETL pipeline orchestration; and seamless integration with various systems. It's secure, enterprise-ready, and available on various deployment options.
• data transformation
• data cleaning
• api-first
• data lineage support
• parse complex docs for genai
• developer-friendly precise retrieval via simple apis, suitable for building intelligent search and q&a services such as ai assistants. no deep technical expertise required in llm or rag. fle
• rag-ready data
• unified format for documents, images, audio, and video
• 10,000 monthly individual FREE credits
• Unlimited pipelines and models
• 5-min max pipeline run time
• 10 catalogs
• 50MB total catalog file storage
• 3-day run log retention
• Community-based support on Discord
• 20,000 monthly individual FREE credits
• $8 per 10,000 additional credits
• Unlimited pipelines and models
• 10-min max pipeline run time
• 50 catalogs
• 500MB total catalog file storage
• 7-day run log retention
• Community-based support on Discord
• Version control
• 60,000 monthly organization FREE credits
• $4 per 10,000 additional credits
• Unlimited pipelines and models
• 30-min max pipeline run time
• Unlimited catalogs
• 2GB total catalog file storage
• 30-day run log retention
• Community-based support on Discord
• Version control
• Custom monthly FREE credits
• Credit quote with lower rates
• Unlimited pipelines and models
• Unrestricted max pipeline run time
• Unlimited catalogs
• Unlimited catalog file storage
• Unlimited run log retention
• Community-based support on Discord
• Version control
• Dedicated model serving
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