langchain

Commit Graph

Author	SHA1	Message	Date
Davit Buniatyan	2c0023393b	Deep Lake mini upgrades (#3375 ) Improvements * set default num_workers for ingestion to 0 * upgraded notebooks for avoiding dataset creation ambiguity * added `force_delete_dataset_by_path` * bumped deeplake to 3.3.0 * creds arg passing to deeplake object that would allow custom S3 Notes * please double check if poetry is not messed up (thanks!) Asks * Would be great to create a shared slack channel for quick questions --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Davit Buniatyan	b4914888a7	Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455 ) ### Features include - Metadata based embedding search - Choice of distance metric function (`L2` for Euclidean, `L1` for Nuclear, `max` L-infinity distance, `cos` for cosine similarity, 'dot' for dot product. Defaults to `L2` - Returning scores - Max Marginal Relevance Search - Deleting samples from the dataset ### Notes - Added numerous tests, let me know if you would like to shorten them or make smarter --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Harrison Chase	166cda2cc6	Harrison/deeplake (#1316 ) Co-authored-by: Davit Buniatyan <d@activeloop.ai>	2 years ago

Author

SHA1

Message

Date

Davit Buniatyan

2c0023393b

Deep Lake mini upgrades (#3375 )

Improvements
* set default num_workers for ingestion to 0
* upgraded notebooks for avoiding dataset creation ambiguity
* added `force_delete_dataset_by_path`
* bumped deeplake to 3.3.0
* creds arg passing to deeplake object that would allow custom S3

Notes
* please double check if poetry is not messed up (thanks!)

Asks
* Would be great to create a shared slack channel for quick questions

---------

Co-authored-by: Davit Buniatyan <d@activeloop.ai>

Davit Buniatyan

b4914888a7

Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455 )

### Features include

- Metadata based embedding search
- Choice of distance metric function (`L2` for Euclidean, `L1` for
Nuclear, `max` L-infinity distance, `cos` for cosine similarity, 'dot'
for dot product. Defaults to `L2`
- Returning scores
- Max Marginal Relevance Search
- Deleting samples from the dataset

### Notes
- Added numerous tests, let me know if you would like to shorten them or
make smarter

---------

Co-authored-by: Davit Buniatyan <d@activeloop.ai>

Harrison Chase

166cda2cc6

Harrison/deeplake (#1316 )

Co-authored-by: Davit Buniatyan <d@activeloop.ai>

3 Commits (ba7a5ac9d7bbc1ad531916c8a0002d1791aa1335)