deepset-ai / deepset-ai/haystack-core-integrations
Pinecone: support hybrid retrieval
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 203
- Forks
- 332
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 80
Description
Supporting hybrid (sparse+dense embedding) retrieval should be quite simple, now that all abstractions and components are in place.
Sparse embedding retrieval in isolation should be investigated: Pinecone does not provide this feature out of the box.
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
No file, test, or entry point is named. Start by locating the existing Pinecone integration and the retrieval abstractions and components it uses; then determine how hybrid sparse+dense retrieval should fit and investigate whether standalone sparse retrieval is possible. Done means hybrid retrieval is supported and the Pinecone limitation around sparse-only retrieval is documented or resolved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, search
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100