Overview
SearchAI is a comprehensive enterprise platform that revolutionizes how organizations harness their data through advanced retrieval-augmented generation (RAG) technology. At its core, the platform seamlessly automates the entire RAG workflow, from connecting and processing various data sources to chunking, embedding, and retrieving relevant information. This automated approach ensures organizations can quickly deploy AI-powered solutions without getting bogged down in technical complexities or infrastructure setup.
The platform stands out by offering a unified environment where enterprises can build and deploy various AI applications, including intelligent search systems, chatbots, and specialized agents - all powered by their own data. What makes SearchAI particularly powerful is its hybrid search architecture, combining traditional keyword search with modern vector-based approaches, alongside a high-performance private LLM optimized specifically for RAG applications. The system automatically enhances content discoverability through AI-generated metadata, including titles, summaries, and topics, making even unstructured content like PDFs and images more accessible and searchable. With its straightforward, transparent pricing model available in both self-hosted and fully managed options, SearchAI removes the uncertainty and hidden costs typically associated with enterprise AI deployments.
Highlights
- Create and deploy AI Search, ChatBots, and Agents using your enterprise data securely on a single unified platform. Utilize Keyword, Vector, or Hybrid search to retrieve the most relevant information from across your enterprise content instantly. Improve search relevance with AI-generated titles, summaries, and topics from your data and documents, including unstructured content like PDFs and images.
- High-performance private LLM optimized for RAG. Process data, passages and conversations securely and at a fixed cost. Spend less to scale enterprise efficiency. fixed and transparent pricing. No external dependencies, APIs and pricing surprises to deal with. No more counting tokens for your LLM usage.
- Build out-of-the-box RAG solutions that automatically connect, process, chunk, embed, retrieve and augment your enterprise data. No need for complicated pipelines or vector stores.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
This is a free license to run SearchAI. No refunds on the free license.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
SearchAI 12.1
[NEW] - Merchandising Rules, a new feature for Product Discovery Collection with the merchandising rules like Promote, Pin and Hide.(Similar to Featured Results). Results can be seen on Smart Search API after the rules created and active in state. [NEW] - Updated Custom Collection with KG, RAG, Auto-Relevance and LLM Settings. [NEW] - New search endpoint returning featured-result entries directly (separate from the standard search response augmentation). Useful for editor previews and frontend plugins that need to render featured results out-of-band. [NEW] - New API to get all collections with REST end-point without token. [NEW] - Session-Expiry Configuration API to get the session time-out in minutes, which is configured in config.xml file
SearchAI 12.0
[NEW] - Knowledge Graphs: Automatic document KG and product KG with entity extraction, relationship mapping, color synonyms [NEW] - Visual/Image Search: 7 modes (similar, exact, complementary, deconstruct, suggest, accessorize, style) [NEW] - KG-Based Personalization: Product and document recommendations (personalized, use-case, persona, query, similar, complementary, learning paths) [NEW] - Deep Intent Understanding: Query decomposition, normalization, color expansion, multi-level sorting, tuning [NEW] - Journey Recommendations: Anonymous tracking, identity resolution, cross-session journeys, campaign attribution [NEW] - Hot-Swap LLM Providers: Support for multiple LLM providers (OpenAI, Anthropic, Google, Bedrock, Azure, Ollama, ONNX, Llama.cpp), 10 embedding providers, and 7 reranker providers [NEW] - E-Commerce Integrations: Shopify, BigCommerce, WooCommerce, Adobe Commerce (Magento), Stripe [NEW] - New Collection Types: 11 new types including Azure DevOps, ServiceNow, Salesforce, Sitemap, Dropbox, Box, Zendesk, DocuSign, OneDrive, Azure Blob, Sitecore [NEW] - A/B Testing: Search, product, and LLM A/B testing with unified analytics [NEW] - Observability: Support for three log destinations (disk,console & Opensearch) to store logs. Support for external log destinations (Splunk, Datadog, CloudWatch, etc.), for system/LLM/HTTP metrics, LLM
Additional details
Usage instructions
After the instance starts please go to https://<Hostname or Host IP>:8443/console to access the administrative console.
Please follow directions to setup collections : https://developer.searchblox.com/docs/overview
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Vendor resources
Support
Vendor support
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
SearchBlox offers a feature-rich, scalable solution for our needs
Expert in Content Writing, Specializing in IT Sales and Services for Public Sector Procurement"
The best app for retrieving information in a easy way.I must recommend
excellent software, support leaves a bit to be desired.
Their new AI offering is extremely interesting. And a big win for custom search that isn't from the "big guys".
The final thing I am not thrilled with is that we have sent several issues to searchblox support. They have never successfully provided a solution. In each case, I continued working through my personal knowledge of the application to discover either a work around, or the solution.