Fix duplicate session handling, unify legal references, and restore safe index cration

CHANGELOG.md

@@ -5,6 +5,19 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 ## [Unreleased]
 
+### Changed
+
+- **Batched semantic-index embedding.** `aicx index` now embeds chunks in
+  batches through the existing `embed_batch` API instead of one HTTP
+  round-trip per chunk. For the cloud backend this collapses the dominant
+  per-chunk latency of a full build (one OpenAI-compatible POST carries an
+  `input` array of up to `batch_size` texts). Batch size is configurable
+  via `[embedder.cloud] batch_size` (default 16) with an `AICX_EMBED_BATCH`
+  env override; GGUF stays serial (`batch_size` 1) by default and opts in
+  only via the env var. A failing batch retries once, then degrades to
+  per-item embedding so one poison chunk cannot abort the run. Checkpoint,
+  resume, `--sample N`, and per-chunk progress ticks are unchanged.
+
 ## [0.11.0] - 2026-07-13
 
 Parser engine transplant — "Noc francuskiego łącznika". Full session-engine

LICENSE

@@ -3,25 +3,25 @@ License text copyright (c) 2020 MariaDB Corporation Ab, All Rights Reserved.
 
 Parameters
 
-Licensor:             Vetcoders
+Licensor:             Libraxis AI sp. z o.o.
 Licensed Work:        ai-contexters (AICX) — Operator CLI + MCP server
                       for AI session context ingestion and retrieval.
-                      The Licensed Work is (c) 2024-2026 Vetcoders.
+                      The Licensed Work is (c) 2024-2026 Libraxis AI sp. z o.o.
 Additional Use Grant: You may make production use of the Licensed Work,
                       provided Your use does not include offering the
                       Licensed Work to third parties on a hosted or embedded
-                      basis in order to compete with Vetcoders' paid
+                      basis in order to compete with Libraxis AI sp. z o.o.'s paid
                       version(s) of the Licensed Work. For purposes of this
                       license:
 
                       A "competitive offering" is a Product that is offered
                       to third parties on a paid basis, including through
                       paid support arrangements, that significantly overlaps
-                      with the capabilities of Vetcoders' paid version(s) of
+                      with the capabilities of Libraxis AI sp. z o.o.'s paid version(s) of
                       the Licensed Work. If Your Product is not a competitive
                       offering when You first make it generally available, it
                       will not become a competitive offering later due to
-                      Vetcoders releasing a new version of the Licensed Work
+                      Libraxis AI sp. z o.o. releasing a new version of the Licensed Work
                       with additional capabilities. In addition, Products
                       that are not provided on a paid basis are not
                       competitive.

SECURITY.md

@@ -8,8 +8,8 @@ If you discover a security vulnerability in aicx, please report it responsibly.
 
 ### How to Report
 
-- Use [GitHub Security Advisories](https://github.com/vetcoders/ai-contexters/security/advisories/new) to submit a private report.
-- Alternatively, contact us directly at **hello@vetcoders.io**.
+- Use [GitHub Security Advisories](https://github.com/Loctree/aicx/security/advisories/new) to submit a private report.
+- Alternatively, contact us directly at **security@loctree.com**.
 
 ### What to Include