langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	eb903e211c	bump to 36 (#12487 )	10 months ago
Bagatur	c6a733802b	bump 324 and 35 (#12352 )	10 months ago
Bagatur	286a29a49e	bump 322 and 34 (#12228 )	10 months ago
Bagatur	963ff93476	bump 321 (#12161 )	10 months ago
Bagatur	85302a9ec1	Add CI check that integration tests compile (#12090 )	10 months ago
Bagatur	35c7c1f050	bump 317 (#11986 )	10 months ago
Predrag Gruevski	dcd0392423	Upgrade to newer black (23.10) and ruff (first 0.1.x!) versions. (#11944 ) Minor lint dependency version upgrade to pick up latest functionality. Ruff's new v0.1 version comes with lots of nice features, like fix-safety guarantees and a preview mode for not-yet-stable features: https://astral.sh/blog/ruff-v0.1.0	10 months ago
Bagatur	ba0d729961	bump 316 (#11928 )	10 months ago
Bagatur	25b1d65305	bump 315 (#11850 )	11 months ago
Erick Friis	1861cc7100	General anthropic functions, steps towards experimental integration tests (#11727 ) To match change in js here https://github.com/langchain-ai/langchainjs/pull/2892 Some integration tests need a bit more work in experimental: ![Screenshot 2023-10-12 at 12 02 49 PM](https://github.com/langchain-ai/langchain/assets/9557659/262d7d22-c405-40e9-afef-669e8d585307) Pretty sure the sqldatabase ones are an actual regression or change in interface because it's returning a placeholder. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Bagatur	9c0584be74	bump 313 (#11718 )	11 months ago
Bagatur	7232e082de	bump 312 (#11621 )	11 months ago
Bagatur	53887242a1	bump 310 (#11486 )	11 months ago
Bagatur	8fafa1af91	merge	11 months ago
Bagatur	8b6b8bf68c	bump 309 (#11443 )	11 months ago
Predrag Gruevski	c9986bc3a9	Tweak type hints to match dependency's behavior. (#11355 ) Needs #11353 to merge first, and a new `langchain` to be published with those changes.	11 months ago
Bagatur	16a80779b9	bump 307 (#11380 )	11 months ago
Bagatur	8eec43ed91	bump 306 (#11289 )	11 months ago
Bagatur	77c7c9ab97	bump 305 (#11224 )	11 months ago
Bagatur	12fb393a43	bump 302 (#11070 )	11 months ago
Bagatur	aa6e6db8c7	bump 301 (#11018 )	11 months ago
Bagatur	24cb5cd379	bump 298 (#10892 )	11 months ago
Bagatur	46aa90062b	bump exp 19 (#10851 )	11 months ago
Bagatur	0d1550da91	Bagatur/bump 295 (#10785 )	11 months ago
Bagatur	f7f3c02585	bump 287 (#10498 )	12 months ago
olgavrou	b78d672a43	merge from upstream/master	12 months ago
olgavrou	11f20cded1	move everything into experimental	12 months ago
Bagatur	d2d11ccf63	bump 285 (#10373 )	12 months ago
Bagatur	672907bbbb	bump 284 (#10330 )	12 months ago
Tomaz Bratanic	db73c9d5b5	Diffbot Graph Transformer / Neo4j Graph document ingestion (#9979 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Bagatur	098b4aa465	bump 281 (#10189 )	12 months ago
Bagatur	0e4c5dd176	bump 13 (#10130 )	12 months ago
maks-operlejn-ds	a8f804a618	Add data anonymizer (#9863 ) ### Description The feature for anonymizing data has been implemented. In order to protect private data, such as when querying external APIs (OpenAI), it is worth pseudonymizing sensitive data to maintain full privacy. Anonynization consists of two steps: 1. Identification: Identify all data fields that contain personally identifiable information (PII). 2. Replacement: Replace all PIIs with pseudo values or codes that do not reveal any personal information about the individual but can be used for reference. We're not using regular encryption, because the language model won't be able to understand the meaning or context of the encrypted data. We use Microsoft Presidio together with Faker framework for anonymization purposes because of the wide range of functionalities they provide. The full implementation is available in `PresidioAnonymizer`. ### Future works - deanonymization - add the ability to reverse anonymization. For example, the workflow could look like this: `anonymize -> LLMChain -> deanonymize`. By doing this, we will retain anonymity in requests to, for example, OpenAI, and then be able restore the original data. - instance anonymization - at this point, each occurrence of PII is treated as a separate entity and separately anonymized. Therefore, two occurrences of the name John Doe in the text will be changed to two different names. It is therefore worth introducing support for full instance detection, so that repeated occurrences are treated as a single object. ### Twitter handle @deepsense_ai / @MaksOpp --------- Co-authored-by: MaksOpp <maks.operlejn@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	d6957921f0	bump 276 (#9931 )	1 year ago
Bagatur	9731ce5a40	bump 273 (#9751 )	1 year ago
Predrag Gruevski	eee0d1d0dd	Update repository links in the package metadata. (#9454 )	1 year ago
Bagatur	a69d1b84f4	bump 267 (#9403 )	1 year ago
Bagatur	5935767056	bump lc 246, lce 9 (#9207 )	1 year ago
Harrison Chase	4d526c49ed	bump experimental to 008 (#8490 )	1 year ago
Harrison Chase	2448043b84	bump and fix (#8441 )	1 year ago
Bagatur	61dd92f821	bump 246 (#8410 )	1 year ago
Harrison Chase	ae78ef7fe6	bump experimental to 005 (#8339 )	1 year ago
Bagatur	5c6dcb1960	bump 243 (#8289 )	1 year ago
Bagatur	82b8d8596c	bump lc241 exp3 (#8193 )	1 year ago
Bagatur	4928f7a9f5	undo bump (#8192 )	1 year ago
Bagatur	d5689d58ab	Bagatur/bump 241 (#8182 )	1 year ago
Harrison Chase	77bf75c236	bump experimental to 002 (#8150 )	1 year ago
Harrison Chase	9f3073d418	bump versions (#8129 )	1 year ago
Harrison Chase	aa0e69bc98	Harrison/official pre release (#8106 )	1 year ago
Harrison Chase	8dcabd9205	bump releases rc0 (#8097 )	1 year ago

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52 Commits (bfd719f9d8454c69ce4fc8df2e8b4c96cb446ce3)