d871c3009d
* feat: support timescale pg_textsearch as text search extension * refactor: deduplicate text search query in retrieve_semantic_bm25_combined Instead of maintaining 3 complete query copies (native, vchord, pg_textsearch), now we: - Build backend-specific parts (score_expr, order_by, where_filter) - Use a single query template with injected backend-specific parts This makes maintenance easier - changes to the semantic CTE or overall structure only need to be made once.
32 lines
950 B
Docker
32 lines
950 B
Docker
# PostgreSQL with pgvector and pg_textsearch extensions
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# Note: pg_textsearch requires PostgreSQL 17+
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FROM postgres:17
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# Install build dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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git \
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postgresql-server-dev-17 \
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libpq-dev \
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&& rm -rf /var/lib/apt/lists/*
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# Install pgvector
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RUN cd /tmp && \
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git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git && \
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cd pgvector && \
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make && \
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make install
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# Install pg_textsearch
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RUN cd /tmp && \
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git clone https://github.com/timescale/pg_textsearch.git && \
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cd pg_textsearch && \
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make && \
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make install
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# Clean up source files and build dependencies
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RUN rm -rf /tmp/pgvector /tmp/pg_textsearch && \
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apt-get purge -y --auto-remove build-essential git postgresql-server-dev-17
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# Ensure extensions are preloaded
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RUN echo "shared_preload_libraries = 'pg_textsearch'" >> /usr/share/postgresql/postgresql.conf.sample
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