Neum AI Description
No one wants to have their AI respond to a client with outdated information. Neum AI provides accurate and current context for AI applications. Set up your data pipelines quickly by using built-in connectors. These include data sources such as Amazon S3 and Azure Blob Storage and vector stores such as Pinecone and Weaviate. Transform and embed your data using built-in connectors to embed models like OpenAI, Replicate and serverless functions such as Azure Functions and AWS Lambda. Use role-based controls to ensure that only the right people have access to specific vectors. Bring your own embedding model, vector stores, and sources. Ask us how you can run Neum AI on your own cloud.
Neum AI Alternatives
Carbon
Carbon is a cost-effective alternative to expensive pipelines. You only pay monthly for usage. Utilise less and spend less with our usage-based pricing; use more and save more. Use our ready-made components for file uploading, web scraping, and 3rd party verification. A rich library of APIs designed for developers that import AI-focused data. Create and retrieve chunks, embeddings and data from all sources. Unstructured data can be searched using enterprise-grade keyword and semantic search. Carbon manages OAuth flows from 10+ sources. It transforms source data to vector store-optimized files and handles data synchronization automatically.
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Context Data
Context Data is a data infrastructure for enterprises that accelerates the development of data pipelines to support Generative AI applications. The platform automates internal data processing and transform flows by using an easy to use connectivity framework. Developers and enterprises can connect to all their internal data sources and embed models and vector databases targets without the need for expensive infrastructure or engineers. The platform allows developers to schedule recurring flows of data for updated and refreshed data.
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Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems.
Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval.
Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters.
Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.
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Klu
Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context.
Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity.
Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.
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Company Details
Company:
Neum AI
Website:
www.neum.ai/
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