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https://github.com/mikeralphson/vectorvictor

Process documents and store chunks and embeddings for textual search
https://github.com/mikeralphson/vectorvictor

ai documentation embeddings machine-learning search vectors

Last synced: 2 months ago
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Process documents and store chunks and embeddings for textual search

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# Vector-Victor

![logo](./logo.webp)

![screenshot](./screenshot.webp)

## SQL tables needed

* See `tables-*.sql`

## Included scripts

* create embeddings using OpenAI API (`importFile.js` and `importBlog.js`)
* cache queries and search by cosine affinity (`query.js`)
* link queries to prompts to correct errors (`link.js`)

## TODO

* Allow to run with `sqlite-vss` as well as Postgres and `pgvector` extension