Best Jina Embeddings v3 Alternatives in 2025
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Tired of paying for ChatGPT? Want to have your own streaming AI chatbot, with your own engineered prompts running on your own servers or cloud? With Llama2, DocArray, and Jina, you can set it up in a few minutes!
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Jina ColBERT v2 supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.
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Multimodal chats, endless memory, and budget-friendly API to reshape how we communicate and create.
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Cleora PRO helps Data Science teams create top quality embeddings of customers and products without access to expensive hardware.
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Discover the Alexandria platform's powerful solution for embedding and analyzing vast amounts of textual data, driving innovation and informed decisions.
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A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
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Rerank 3 is an advanced model optimized for enterprise search and retrieval assistance generation (RAG) systems.
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Yuan2.0-M32 is a Mixture-of-Experts (MoE) language model with 32 experts, of which 2 are active.
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Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes designed to serve as a comprehensive guide for modern post-training techniques.
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Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud.
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With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.
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XVERSE-MoE-A36B: A multilingual large language model developed by XVERSE Technology Inc.
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Discover the peak of AI with Meta Llama 3, featuring unmatched performance, scalability, and post-training enhancements. Ideal for translation, chatbots, and educational content. Elevate your AI journey with Llama 3.
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Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance.
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Enhance your embedding processes with Embedditor.ai's user-friendly interface, advanced NLP cleansing, and optimized vector search relevance. Reduce costs and improve efficiency today!
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Discover LongLoRA, an innovative breakthrough in language models. Extend text lengths with just two lines of code. Explore LongAlpaca, a powerful dialogue model.
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Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.
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Qwen2.5-Turbo by Alibaba Cloud. 1M token context window. Faster, cheaper than competitors. Ideal for research, dev & business. Summarize papers, analyze docs. Build advanced conversational AI.
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Mistral Small 3 ( 2501 ) sets a new benchmark in the "small" Large Language Models category below 70B, boasting 24B parameters and achieving state-of-the-art capabilities comparable to larger models!
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Simplify dataset loading and create chatbots effortlessly with Embedchain. Automate data chunking, embeddings, and query functionalities.
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H2O-Danube2-1.8B is the latest open-source small language model released by H2O.ai, designed for offline and enterprise applications, with cost-effective interfaces and training costs, and easy to embed into edge devices such as mobile phones and drones
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embaas offers powerful features like embedding generation, document text extraction, document to emb
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Local III makes it easier than ever to use local models. With an interactive setup, you can select an inference provider, select a model, download new models, and more.
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To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
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Jamba 1.5 Open Model Family, launched by AI21, based on SSM-Transformer architecture, with long text processing ability, high speed and quality, is the best among similar products in the market and suitable for enterprise-level users dealing with large data and long texts.
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Enhance language models with Giga's on-premise LLM. Powerful infrastructure, OpenAI API compatibility, and data privacy assurance. Contact us now!
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CM3leon: A versatile multimodal generative model for text and images. Enhance creativity and create realistic visuals for gaming, social media, and e-commerce.
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FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. And it also can be used in vector databases for LLMs.
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Revolutionize LLM development with LLM-X! Seamlessly integrate large language models into your workflow with a secure API. Boost productivity and unlock the power of language models for your projects.
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WordLlama is a utility for natural language processing (NLP) that recycles components from large language models (LLMs) to create efficient and compact word representations, similar to GloVe, Word2Vec, or FastText.