LlamaIndex Alternatives

Connects custom data sources to large language models, enabling easy integration into production-ready applications with support for 160+ data sources.

If you're looking for something other than LlamaIndex, there are a number of other notable options that could be a good fit.

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Lamini

Lamini is an enterprise LLM platform that lets teams create, manage and deploy their own LLMs on their own data. It's got memory tuning for high accuracy and supports deployment to a variety of environments, including air-gapped ones. Lamini oversees the full model lifecycle, from comparison to deployment, and offers both a free tier with limited inference requests and a custom enterprise tier with unlimited tuning and inference.

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Abacus.AI

Abacus.AI is an AI platform that lets developers create large-scale AI agents and systems using generative AI and other neural network methods. It offers products like ChatLLM for creating AI agents and fine-tuning LLMs, and AI Agents for automating complex processes and integrating multiple data sources. The platform offers a broad range of predictive and analytical abilities, so it's a good fit for enterprise customers that need to scale AI.

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Hebbia

Hebbia is a powerful LLM platform based on Matrix technology geared for financial services, law firms and government. It can ingest massive amounts of data and automate processes for better decision making. Hebbia offers multi-file processing, end-to-end encryption and automated workflows that are 10 times faster and more accurate, making it a good option for data-rich industries.

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Dayzero

Dayzero offers an enterprise AI platform with hyper-personalized applications powered by custom LLMs. It includes tools for training, deploying, scaling and maintaining generative AI models. Dayzero integrates with LlamaIndex and offers secure deployment of AI models within the user's environment, so it's a good option for businesses that want to automate processes and increase productivity.

More Alternatives to LlamaIndex

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LangChain

Create and deploy context-aware, reasoning applications using company data and APIs, with tools for building, monitoring, and deploying LLM-based applications.

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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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Glean

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

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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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Predibase

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

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Vellum

Manage the full lifecycle of LLM-powered apps, from selecting prompts and models to deploying and iterating on them in production, with a suite of integrated tools.

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Kolank

Access multiple Large Language Models through a single API and browser interface, with smart routing and resilience for high-quality results and cost savings.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.

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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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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Langfuse

Debug, analyze, and experiment with large language models through tracing, prompt management, evaluation, analytics, and a playground for testing and optimization.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.

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Lettria

Extract insights from unstructured text data with a no-code AI platform that combines LLMs and symbolic AI for knowledge extraction and graph-based applications.

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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.