Support for plugins that implement vector indexes
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- Dominant language
- Python
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Description
The llm similar and collection.similar() methods currently implement the slowest brute-force approach.
I want to support faster approaches for this, like sqlite-vss and FAISS and and Pinecone and suchlike... but I'd like to do so through plugins.
Many vector indexes need to be rebuilt periodically, so I need an abstraction that supports that.
I added a modified column to the embeddings table in:
- #211
With the aim of supporting this feature. I want indexes to be able to scan that table to see which items have been added or modified since they last ran, then re-index just those records.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing the llm similar and collection.similar() entry points and reviewing the embeddings table change from #211. Define the plugin index abstraction around scanning modified records and rebuilding or incrementally updating indexes; done means supported plugins can re-index records added or changed since their last run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, cli, databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100