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Epsilla - RAG as a Service

Epsilla is a one-stop RAG-as-a-Service platform for building production-ready LLM applications connected with your proprietary data. We empower developers to build GenAI applications with state-of-the-art retrieval augmented generation capabilities.
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Epsilla - RAG as a Service
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Introduction

Epsilla is a no-code RAG-as-a-Service platform designed for building production-ready LLM applications grounded by private or public data. It aims to simplify the process of creating AI agents and make it accessible to a wide range of users, from enterprise developers to citizen GenAI builders.

Feature

  1. One-Stop Platform

    • Manages entire lifecycle of LLM application development
    • Testing, deployment, and operation without piecing together multiple systems
    • Achieves lowest total cost of ownership (TCO)
  2. Advanced Vector Search Engine

    • Outperforms leading vendors with:
      • 10X lower query latency
      • 5X higher query throughput
      • 3X lower cost
  3. AI Native Data and Knowledge Management

    • Efficiently manages large-scale, multi-modality unstructured and structured data
    • Ensures up-to-date information
  4. Advanced RAG Building Blocks

    • Plug and play with state-of-the-art RAG and GraphRAG techniques
    • No need for writing plumbing code
  5. Fast Iteration with Confidence

    • CI/CD-style evaluations for configuration changes
    • Accelerates iterations, enabling production deployment in days
  6. Enterprise-Ready Security

    • Fine-grained, role-based, and privilege-based access control
    • Supports open source and self-hosted LLMs
    • Private cloud and on-premises deployment options
  7. Wide Range of Use Cases

    • Personal AI Assistant
    • AI Financial Analyst
    • AI Lawyer Assistant
    • AI Customer Support
    • Content Engagement Boost
    • AI Recruiting
    • AI Tutor and Study Buddy
  8. Flexible Data Source Integration

    • Supports local files, websites, Google Drive, Notion, SharePoint, cloud storage, etc.
    • No limit on data size with horizontal scaling
  9. Multiple LLM and Embedding Model Support

    • Integrates with OpenAI, Anthropic, MistralAI, Cohere, Google, and more
    • Custom integrations available upon request

How to Use?

  1. Start with the Free Tier to build a small prototype and test the platform's capabilities.

  2. Utilize the wide range of data sources to connect your existing information repositories.

  3. Experiment with different LLMs and embedding models to find the best fit for your use case.

  4. Take advantage of the advanced RAG building blocks to create sophisticated AI applications without extensive coding.

  5. Use the CI/CD-style evaluations to confidently iterate on your AI applications.

  6. For enterprise users, consider the customization options available in the Enterprise Tier for tailored solutions.

FAQ

Who can use Epsilla?

Epsilla can be used by enterprise GenAI developers, small businesses, vertical industry startups, and citizen GenAI builders to create production-ready LLM applications connected with private or public data.

Is there a free trial available?

Yes, Epsilla offers a free tier with limited data and LLM workflow capacity, perfect for building small prototypes. You can upgrade to a paid plan for more features and expanded capacity.

What types of data sources can I connect to Epsilla?

You can connect to a wide variety of data sources, including locally uploaded files, websites, Google Drive, Notion, SharePoint, cloud storage, and many more. There's no limit to the size of the data you can connect, as Epsilla's infrastructure supports horizontal scaling.

What LLMs and embedding models are supported?

Epsilla supports LLMs from providers like OpenAI, Anthropic, MistralAI, Cohere, and Google, as well as embedding models from OpenAI, MistralAI, JinaAI, VoyageAI, and others. Custom integrations are available upon request.

Does Epsilla offer customization for specific use cases?

Yes, as part of the Enterprise Tier, Epsilla offers consulting and customization services to help build and deploy custom AI applications tailored to specific use cases.

Price

PlanPriceFeatures
Free Tier$0/month1 Team Member, 1 Project, 1 AI Application, 1 Knowledge Base, 10M Vector Storage, 50 Messages/Month, Powered by GPT-4, Community Support
Starter Tier$29/month2 Team Members, 1 Project, 5 AI Applications, 5 Knowledge Bases, 1G Vector Storage, 500 Messages/Month, Powered by GPT-4, Email Support
Professional Tier$249/month20 Team Members, 10 Projects, 50 AI Applications, 50 Knowledge Bases, 10G Vector Storage, 5000 Messages/Month, Powered by GPT-4, Dedicated Support Channel
Enterprise TierCustom pricingUnlimited resources, Custom LLM support, Extensive White-Labeling, SSO, On-Prem Deployment Options, Consulting and Customization, Premium Support with SLAs
The price is for reference only, please refer to the latest official data for actual information.

Evaluation

  1. Epsilla offers a comprehensive solution for building AI applications, catering to a wide range of users from individual developers to large enterprises. Its no-code approach and integration with various data sources and LLMs make it accessible and flexible.

  2. The platform's focus on RAG (Retrieval-Augmented Generation) and advanced vector search capabilities sets it apart from generic AI development tools, potentially offering better performance and accuracy for information retrieval tasks.

  3. The pricing structure is well-segmented, allowing users to start with a free tier and scale up as needed. This approach is beneficial for startups and small businesses looking to experiment with AI without significant upfront costs.

  4. Epsilla's emphasis on enterprise-ready features like security, customization, and on-premises deployment options makes it attractive for larger organizations with specific compliance and integration requirements.

  5. While the platform seems feature-rich, the learning curve and actual ease of use for non-technical users might be a potential challenge. More information on user experience and tutorials would be beneficial.

  6. The claims of outperforming other vendors (e.g., 10X lower query latency) are impressive but would benefit from more detailed benchmarks or case studies to substantiate these claims.

  7. The range of supported use cases is diverse, which is a strong point. However, the effectiveness of the platform across all these scenarios may vary and would require further validation.

  8. Integration with a wide array of LLMs and embedding models is a significant advantage, providing users with flexibility and the ability to leverage the latest AI technologies.

Latest Traffic Insights

  • Monthly Visits

    13.03 K

  • Bounce Rate

    50.37%

  • Pages Per Visit

    1.95

  • Time on Site(s)

    100.84

  • Global Rank

    2089458

  • Country Rank

    Nigeria 38650

Recent Visits

Traffic Sources

  • Social Media:
    2.83%
  • Paid Referrals:
    0.44%
  • Email:
    0.04%
  • Referrals:
    4.96%
  • Search Engines:
    47.83%
  • Direct:
    43.82%
More Data

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