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vector-search
The definitive guide to using Vector Search to solve your semantic search production workload needs.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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rum
RUM access method - inverted index with additional information in posting lists (by postgrespro)
It's all in the Nim programming language, but if you prefer reading code or running diffs then you might get a vague sense of (some) low level nuts & bolts from: https://github.com/c-blake/nimsearch
series of tutorials and comparisons that aim to teach a foundations about vector search: https://vectorsearch.dev/
for postgres, i highly recommend the rum index over the core fts. rum is written by postgrespro, who also wrote core fts and json indexing in pg.
https://github.com/postgrespro/rum
Related posts
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Postgres Full-Text Search: A Search Engine in a Database
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Postgrespro/rum: RUM access method – inverted index with additional information
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Debugging random slow writes in PostgreSQL
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Evaluate Vector Database / Benchmarks?
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Is it worth using Postgres' builtin full-text search or should I go straight to Elastic?