9898 VERSION : ${{ matrix.version }}
9999 run : |
100100 make DESTDIR="~/debian" install
101+ mkdir -p ~/debian/usr/share/doc/postgresql-${VERSION}-vchord/
102+ echo "Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
103+ Upstream-Name: VectorChord
104+ Source: https://github.com/tensorchord/VectorChord
105+
106+ Files: *
107+ Copyright: Copyright (c) 2025-2026 TensorChord Inc.
108+ License: AGPL-3.0-only OR Elastic-2.0
109+
110+ License: AGPL-3.0-only
111+ $(cat ./licenses/LICENSE.AGPLv3 | sed 's/^$/./' | sed 's/^/ /')
112+
113+ License: Elastic-2.0
114+ $(cat ./licenses/LICENSE.ELv2 | sed 's/^$/./' | sed 's/^/ /')
115+ " \
116+ >> ~/debian/usr/share/doc/postgresql-${VERSION}-vchord/copyright
101117 ARCH=$(uname -m)
102118 PLATFORM=$(dpkg --print-architecture)
103119 mkdir -p ~/debian/DEBIAN
@@ -108,9 +124,11 @@ jobs:
108124 Priority: optional
109125 Architecture: ${PLATFORM}
110126 Maintainer: Tensorchord <support@tensorchord.ai>
111- Description: Vector database plugin for Postgres, written in Rust, specifically designed for LLM
112- Homepage: https://vectorchord.ai/
113- License: AGPL-3.0-only OR Elastic-2.0" \
127+ Description: Scalable, fast, and disk-friendly vector search in Postgres
128+ VectorChord is a PostgreSQL extension designed for scalable,
129+ high-performance, and disk-efficient vector similarity search. It
130+ supports L2 distance, inner product, cosine distance and maxsim.
131+ Homepage: https://vectorchord.ai/ \
114132 > ~/debian/DEBIAN/control
115133 (cd ~/debian && find usr -type f -print0 | xargs -0 md5sum) > ~/debian/DEBIAN/md5sums
116134 dpkg-deb --root-owner-group -Zxz --build ~/debian ~/postgresql-${VERSION}-vchord_${SEMVER}-1_${PLATFORM}.deb
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