Neum AI Alternatives

Build and manage data infrastructure for Retrieval Augmented Generation and semantic search with scalable pipelines and real-time vector embeddings.
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Pinecone

If you're looking for a different Neum AI alternative, Pinecone is another good option. Pinecone is a vector database designed for querying and retrieval performance, with a serverless architecture that automatically scales. It also supports real-time indexing and hybrid search, with an average query latency of 51ms and high recall. Pinecone integrates with the big cloud providers and other data sources and models, so it's a good general-purpose option.

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Airbyte

Another option is Airbyte, an open-source data integration service that's designed to move data efficiently from more than 300 sources to many destinations. It offers features like Extract Unstructured Data for vector store destinations, Automated Schema Evolution and strong security. Airbyte offers flexible deployment options and is good for both big and small-scale data integration jobs.

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SciPhi

If you're more interested in Retrieval-Augmented Generation (RAG) systems, SciPhi offers a foundation for building, deploying and scaling RAG systems. It supports multiple file formats, dynamic scaling and deployment of more advanced methods like HyDE and RAG-Fusion. SciPhi is open-source, and it offers different pricing tiers for different needs and scale.

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Trieve

Last, Trieve offers a foundation for building search, recommendations and RAG experiences. It includes private managed embedding models, full-text neural search and hybrid search. Trieve offers merchandising relevance tuning and flexible hosting options, so it's good for advanced search use cases. It offers a free plan for noncommercial self-hosting and several paid plans for different needs.

More Alternatives to Neum AI

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Supabase

Build production-ready apps with a scalable Postgres database, instant APIs, and integrated features like authentication, storage, and vector embeddings.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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Estuary

Build and automate fast, reliable, and low-latency data pipelines with 100+ no-code connectors for real-time CDC, ETL, and streaming data integration.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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VectorShift

Build and deploy AI-powered applications with a unified suite of no-code and code tools, featuring drag-and-drop components and pre-built pipelines.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Ayfie

Combines generative AI with powerful search engines to deliver contextually relevant results, enhancing decision-making with real-time access to relevant information.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Xata

Serverless Postgres environment with auto-scaling, zero-downtime schema migrations, and AI integration for vector embeddings and personalized experiences.

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SuperAnnotate

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.

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Instill

Automates data, model, and pipeline orchestration for generative AI, freeing teams to focus on AI use cases, with 10x faster app development.

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Stack AI

Automate back office work and augment your team with AI assistants, leveraging a drag-and-drop interface and prebuilt templates for rapid deployment.

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SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

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Encord

Streamline computer vision development with automated labeling, data management, and model testing tools to build more accurate models faster.

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Unbody

Automates AI application development by linking data to various AI models, enabling easy integration and building of AI-native apps.

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Patterns

Ask a question, get an answer in seconds, without manual data analysis, using AI-powered SQL, charts, and explanations.

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Embedditor

Optimizes embedding metadata and tokens for vector search, applying advanced NLP techniques to increase efficiency and accuracy in Large Language Model applications.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.