Repo · Search & RAG

XERJ

Elasticsearch-compatible local search engine for AI agents (single Rust binary, MCP) with an opt-in rerank stage that sends top hits to TypeSafe Jev…

Open github.com ↗

From the repository

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

ai-searchai-search-algorithmsai-search-engineai-search-freeai-search-moduleai-search-optimizationai-searchenginebm25-searchelastic-searchelasticsearchelasticstackgraph-searchgraph-semantic-searchhybrid-searchhybrid-semantic-searchsearch-apisearch-enginesemantic-searchvector-databasevector-search

How builders describe it

Elasticsearch-compatible local search engine for AI agents (single Rust binary, MCP) with an opt-in rerank stage that sends top hits to TypeSafe Jev and reorders them by its relevance probability.

An Elasticsearch-compatible autoindex search layer that optionally sends top hits to TypeSafe Jev and reorders results by relevance scores.

The decision Jev makes

Rank candidates against a query, or answer whether a passage is relevant.

Where it fits

Search pipelines retrieve too much. These projects use Jev as a reranker or relevance check after the first search, so only useful results reach the user or the model. All 108 search & rag projects →

Related projects