Description
XERJ.ai is a search engine specifically built for AI agents, offering a unified solution that combines search, vector databases, embeddings, and agent memory into a single Rust binary. This innovative approach allows AI agents to query an index rather than re-reading files, significantly reducing the number of output tokens used. XERJ.ai is compatible with Linux, macOS, and Windows, supporting both x86_64 and arm64 architectures. It is designed to work seamlessly with the Elasticsearch API, allowing existing clients to connect without changes.
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The platform offers a unique autoindex feature that indexes code, documents, and data, enabling agents to retrieve exact definitions and contracts before writing a line of code. This feature is particularly beneficial for coding agents, as it helps avoid common pitfalls such as inventing method names or failing to compile. XERJ.ai also provides a comprehensive API that supports various operations, including retrieval by meaning, keyword, or vector, with per-agent isolation.
XERJ.ai is available in three editions: Community, Professional, and Enterprise. Each edition ships the same binary, with differences in deployment footprint, support SLA, and compliance add-ons. The Community edition offers basic support through GitHub and forums, while the Professional and Enterprise editions provide more robust support options, including business-hours and 24/7 support, respectively.
The platform is designed for scalability and efficiency, offering features such as hybrid semantic and keyword search, multi-tenant isolation, and structured audit logging. It is particularly suited for enterprise retrieval workloads, eliminating the need for separate vector databases or dedicated clusters. XERJ.ai's security model includes mutual TLS, RBAC, and BYOK encryption, ensuring a secure and compliant data plane.
- CategoryAI Search Engines
- Pricing ModelPer-node
- DeploymentSelf-hosted
- PlatformsLinux, macOS, Windows
XERJ.ai's Core Features
Unified search engine for AI agents
Single Rust binary for search and memory
Compatible with Elasticsearch API
Autoindex feature for efficient retrieval
Supports Linux, macOS, and Windows
Three editions: Community, Professional, Enterprise
Hybrid semantic and keyword search
Secure with mutual TLS and RBAC
How to use XERJ.ai?
Install: Deploy the static binary on your system
Configure: Set up the Elasticsearch API compatibility
Index: Use xerj autoindex to index your data
Query: Retrieve information using the API
Optimize: Monitor and adjust for performance
XERJ.ai's Use Cases
- Code Indexing
- Document Retrieval
- Enterprise Search
- Security Audits
- Data Compliance
