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
- Host: GitHub
- URL: https://github.com/mikeralphson/vectorvictor
- Owner: MikeRalphson
- Created: 2023-04-04T13:37:34.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-30T06:48:27.000Z (8 months ago)
- Last Synced: 2024-10-05T19:21:49.689Z (8 months ago)
- Topics: ai, documentation, embeddings, machine-learning, search, vectors
- Language: JavaScript
- Homepage:
- Size: 1.92 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Vector-Victor


## 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