RagLeap Core v0.4.0 – Production‑Ready AI Business OS

Description and use

RagLeap Core v0.4.0 removes silent failures, adds an ops runbook, enhances cross‑chunk RAG, introduces Java support, and provides live observability, enabling reliable production of autonomous AI employees.

Problem

AI employees often fail silently, lack operational guidance, and have limited cross‑chunk knowledge extraction, making production deployment risky.

Outcome

RagLeap Core v0.4.0 eliminates silent failures, provides operational runbooks, enhances cross‑chunk knowledge extraction, adds Java support, and introduces live observability, enabling reliable production deployment of autonomous AI employees.

Workflow

• 1. Clone the repo and start services with docker‑compose.
• 2. Monitor logs for explicit EmbeddingFailure errors.
• 3. Use RUNBOOK.md to recover from common failures (e.g., Neo4j crash, cert expiration).
• 4. Leverage cross‑chunk Graph RAG for richer retrieval.
• 5. Deploy Java modules in regulated environments.
• 6. Enable ragleap‑observability for live metrics.

Evidence

Silent failures are now loud – we surface embedding errors with explicit reasons.

Source

Added RUNBOOK.md for db‑down, neo4j crash, backup failure, cert‑expired scenarios.

Source