Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.
Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond.
Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough.
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A Responsible AI Agent platform providing accurate, accountable, and safe AI for your organization.
As a Composite (hybrid) platform, it combines Knowledge Graph AI, governed Generative AI, and Intelligent Automation technologies. This combination gives you trusted answers that are accurate and consistent. Beyond that, kama.ai's systems also can complete complex tasks without putting your brand or operation at risk.
kama.ai is ideal for finance, professional services, manufacturing, education, healthcare, and Indigenous services organizations. It gives you an accountable, culturally aware, ethical, and accurate AI Agent platform you can trust. With human governed-in-advance processes and information, kama.ai lowers the barriers for AI Agent adoption. Organizations gain efficiency without risking reliability or your brand reputation.
Get the right info to the right people, at the right time. That builds client engagement 24x7, and boosts brand credibility & loyalty.
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txtai
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.
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