llmware-ai / llmware-ai/llmware
Adding support for DuckDB
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- Dominant language
- Python
- Stars
- 14.8k
- Forks
- 2.9k
- PR merge metrics
- No merged PRs in 30d
Description
[DuckDB](https://duckdb.org/) recently added support for vectors to enable [similarity search](https://blog.brunk.io/posts/similarity-search-with-duckdb) and can be [used for RAG](https://motherduck.com/blog/search-using-duckdb-part-2/).
It seems to me that it would be a very good fit for llmware as a low ceremony way to access data efficiently) even on a laptop .
Best Regards
Contributor guide
No contributing guide indexed for this repository
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
No repository files, tests, or entry points are named. Start by reviewing DuckDB's vector support and the linked similarity-search and RAG references, then define what DuckDB support in llmware should cover and how completion would be verified.
Written by the indexing model from the issue text.
Assessment
- Domain
- databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100