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Xerj

Xerj is a Rust-based CLI and server for indexing and searching code, documents, logs and PDFs. It supplies searchable passages for RAG, agent memory, security-audit searches and code-reference workflows, and supports Elasticsearch-compatible clients.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Xerj — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Xerj when you need a CLI and server to index a local corpus and make relevant passages searchable for people or AI workflows.

Who it is for

  • Developers who want AI workflows to retrieve relevant passages from project files.
  • Teams building RAG or agent-memory search over indexed data.
  • Users searching code, documentation, logs or PDFs through Elasticsearch-compatible clients.

Documented uses

  • Index a folder of code and documentation for search.
  • Retrieve relevant passages with file and line locations.
  • Build a searchable source for RAG or agent memory.
  • Search indexed logs and PDFs or locate material for security-audit work.
  • Find examples in related open-source repositories for reference coding.
Before you choose

Requirements & limits

The repository identifies Xerj as open source under the Apache-2.0 license. The README documents a shell installer and a single static binary.

  • Xerj is a Rust-based CLI and server rather than a hosted search website.
  • The README describes BM25, k-nearest-neighbour and hybrid search; its default embedder is lexical and offline, while the neural embedder is opt-in and downloads about 90 MB.
  • The README's --insecure server example disables TLS and API-key authentication; Xerj warns that reachable callers can read and delete indexed data.
  • Elasticsearch-compatible clients are a documented integration point.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Index and search a local project

Create an index of a project folder and retrieve ranked passages from it.

Before you start

  • Xerj installed using the documented shell installer.
  • A project folder to index.
  • A local server; the README example uses the --insecure option.

Steps

  1. Install Xerj with the documented installer command.

  2. Start the server with a data directory, as shown in the README.

  3. Run xerj autoindex on the project folder.

  4. Run xerj search with a query to retrieve ranked passages and file:line locations.

Expected outcome

A searchable index of the project and query results with passage locations.

Guide limitations

  • The documented --insecure example disables TLS and API-key authentication. Xerj warns that callers who can reach the port can read and delete indexed data.
  • The guide reflects the README example; consult the project security model before exposing a server beyond a local development machine.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
13 October 2026
Original website title
xerj-org/xerj · Official homepage title · retained in its source language
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