langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	eec9b1b306	Harrison/opensearch vectorstore (#1907 ) Co-authored-by: Mehmet Öner Yalçın <oneryalcin@gmail.com>	2 years ago
Xin Qiu	ea142f6a32	feat: add drop index in redis and fix prefix generate logic (#1857 ) # Description Add `drop_index` for redis RediSearch: [RediSearch quick start](https://redis.io/docs/stack/search/quick_start/) # How to use ``` from langchain.vectorstores.redis import Redis Redis.drop_index(index_name="doc",delete_documents=False) ```	2 years ago
Eli	12f868b292	Propagate "filter" arg in Chroma similarity_search (#1869 ) Technically a duplicate fix to #1619 but with unit tests and a small documentation update - Propagate `filter` arg in Chroma `similarity_search` to delegated call to `similarity_search_with_score` - Add `filter` arg to `similarity_search_by_vector` - Clarify doc strings on FakeEmbeddings	2 years ago
Memento Mori	31f9ecfc19	Fix tiktoken version (#1882 ) Fix https://github.com/hwchase17/langchain/issues/1881 This issue occurs when using `'gpt-3.5-turbo'` with `VectorDBQAWithSourcesChain`	2 years ago
Eric Zhu	273e9bf296	Simplify AzureChatOpenAI implementation. (#1902 ) Change AzureChatOpenAI class implementation as Azure just added support for chat completion API. See: https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions. This should make the code much simpler.	2 years ago
Maurício Maia	f155d9d3ec	Add metadata filter to PGVector search (#1872 ) Add ability to filter pgvector documents by metadata.	2 years ago
Klein Tahiraj	d3d4503ce2	Remove redundant .docx loader (closes #1716 ) + update how_to_guides.rst (#1891 ) In https://github.com/hwchase17/langchain/issues/1716 , it was identified that there were two .py files performing similar tasks. As a resolution, one of the files has been removed, as its purpose had already been fulfilled by the other file. Additionally, the init has been updated accordingly. Furthermore, the how_to_guides.rst file has been updated to include links to documentation that was previously missing. This was deemed necessary as the existing list on https://langchain.readthedocs.io/en/latest/modules/document_loaders/how_to_guides.html was incomplete, causing confusion for users who rely on the full list of documentation on the left sidebar of the website.	2 years ago
Harrison Chase	1f93c5cf69	extraction docs (#1898 )	2 years ago
Sean Zheng	15b5a08f4b	Update how_to_guides.rst (#1893 ) Adding OpenSearch examples	2 years ago
Kushal Chordiya	ff4a25b841	Fix minor bug in opensearch vector store add_texts function (#1878 ) In the langchain.vectorstores.opensearch_vector_search.py, in the add_texts function, around line 247, we have the following code ```python embeddings = [ self.embedding_function.embed_documents(list(text))[0] for text in texts ] ``` the goal of the `list(text)` part I believe is to pass a list to the embed_documents list instead of a a str. However, `list(text)` is a subtle bug `list(text)` would convert the string text into an array, where each element of the array is a character of the string <img width="937" alt="Screenshot 2023-03-22 at 1 27 18 PM" src="https://user-images.githubusercontent.com/88190553/226836470-384665a1-2f13-46bc-acfc-9a37417cd918.png"> The correct way should be to change the code to ```python embeddings = [ self.embedding_function.embed_documents([text])[0] for text in texts ] ``` Which wraps the string inside a list.	2 years ago
Maurício Maia	2212520a6c	Add PGVector collection metadata (#1887 ) The `CollectionStore` for `PGVector` has a `cmetadata` field but it's never used. This PR add the ability to save metadata information to the collection.	2 years ago
Harrison Chase	d08f940336	principles list (#1888 )	2 years ago
Harrison Chase	2280a2cb2f	bump version to 119 (#1886 )	2 years ago
Harrison Chase	ce5d97bcb3	Harrison/guarded output parser (#1804 ) Co-authored-by: jerwelborn <jeremy.welborn@gmail.com>	2 years ago
DeadBranch	8fa1764c60	docs: update gpt index references to LlamaIndex (#1856 ) The GPT Index project is transitioning to the new project name, LlamaIndex. I've updated a few files referencing the old project name and repository URL to the current ones. From the [LlamaIndex repo](https://github.com/jerryjliu/llama_index): > NOTE: We are rebranding GPT Index as LlamaIndex! We will carry out this transition gradually. > > 2/25/2023: By default, our docs/notebooks/instructions now reference "LlamaIndex" instead of "GPT Index". > > 2/19/2023: By default, our docs/notebooks/instructions now use the llama-index package. However the gpt-index package still exists as a duplicate! > > 2/16/2023: We have a duplicate llama-index pip package. Simply replace all imports of gpt_index with llama_index if you choose to pip install llama-index. I'm not associated with LlamaIndex in any way. I just noticed the discrepancy when studying the lanchain documentation.	2 years ago
Harrison Chase	f299bd1416	clean up sagemaker nb (#1875 )	2 years ago
Philipp Schmid	064be93edf	[Embeddings] Add SageMaker Endpoint Embedding class (#1859 ) # What does this PR do? This PR adds similar to `llms` a SageMaker-powered `embeddings` class. This is helpful if you want to leverage Hugging Face models on SageMaker for creating your indexes. I added a example into the [docs/modules/indexes/examples/embeddings.ipynb](https://github.com/hwchase17/langchain/compare/master...philschmid:add-sm-embeddings?expand=1#diff-e82629e2894974ec87856aedd769d4bdfe400314b03734f32bee5990bc7e8062) document. The example currently includes some `_### TEMPORARY: Showing how to deploy a SageMaker Endpoint from a Hugging Face model ###_ ` code showing how you can deploy a sentence-transformers to SageMaker and then run the methods of the embeddings class. @hwchase17 please let me know if/when i should remove the `_### TEMPORARY: Showing how to deploy a SageMaker Endpoint from a Hugging Face model ###_` in the description i linked to a detail blog on how to deploy a Sentence Transformers so i think we don't need to include those steps here. I also reused the `ContentHandlerBase` from `langchain.llms.sagemaker_endpoint` and changed the output type to `any` since it is depending on the implementation.	2 years ago
anupam-tiwari	86822d1cc2	Fixes the import typo in the vector db text generator notebook (#1874 ) Fixes the import typo in the vector db text generator notebook for the chroma library Co-authored-by: Anupam <anupam@10-16-252-145.dynapool.wireless.nyu.edu>	2 years ago
Harrison Chase	a581bce379	remove key (#1863 )	2 years ago
Harrison Chase	2ffc643086	add listen api docs (#1855 )	2 years ago
Harrison Chase	2136dc94bb	bump version to 118 (#1854 )	2 years ago
Matt Tucker	a92344f476	Use regex match for bash process error output test assertion. (#1837 ) I was getting the same issue reported in #1339 by [MacYang555](https://github.com/MacYang555) when running the test suite on my Mac. I implemented the fix they suggested to use a regex match in the output assertion for the scenario under test. Resolves #1339	2 years ago
Tomoko Uchida	b706966ebc	Add setup instruction in Getting Started for Indexing (#1847 ) `VectorstoreIndexCreator` [uses Chroma as the vectorstore by default](`1c22657256/langchain/indexes/vectorstore.py (L49)`). It may be helpful to add a short note for the setup. You can see how the notebook looks here. https://github.com/mocobeta/langchain/blob/feat/add-setup-instruction-to-index-getting-started/docs/modules/indexes/getting_started.ipynb	2 years ago
Harrison Chase	1c22657256	Harrison/faiss merge (#1843 ) Co-authored-by: Ting Su <ting.su.1995@outlook.com>	2 years ago
Harrison Chase	6f02286805	Harrison/subtitles (#1842 ) Co-authored-by: David Ruan <ruanwz@gmail.com> Co-authored-by: David Ruan <david.ruan@analyticservice.net>	2 years ago
Simon Zhou	3674074eb0	Add Qdrant to ecosystem page (#1830 ) Add [Qdrant](https://qdrant.tech/) to [LangChain ecosystem](https://langchain.readthedocs.io/en/latest/ecosystem.html) page.	2 years ago
Wenbin Fang	a7e09d46c5	Add podcast api tool to use NLP to search all podcasts or episodes. (#1833 ) Use the following code to test: ```python import os from langchain.llms import OpenAI from langchain.chains.api import podcast_docs from langchain.chains import APIChain # Get api key here: https://openai.com/pricing os.environ["OPENAI_API_KEY"] = "sk-xxxxx" # Get api key here: https://www.listennotes.com/api/pricing/ listen_api_key = 'xxx' llm = OpenAI(temperature=0) headers = {"X-ListenAPI-Key": listen_api_key} chain = APIChain.from_llm_and_api_docs(llm, podcast_docs.PODCAST_DOCS, headers=headers, verbose=True) chain.run("Search for 'silicon valley bank' podcast episodes, audio length is more than 30 minutes, return only 1 results") ``` Known issues: the api response data might be too big, and we'll get such error: `openai.error.InvalidRequestError: This model's maximum context length is 4097 tokens, however you requested 6733 tokens (6477 in your prompt; 256 for the completion). Please reduce your prompt; or completion length.`	2 years ago
Matt Tucker	fa2e546b76	Add workaround for debugpy install issue to contrib docs. (#1835 ) When following the Quick Start instructions in the contributing docs, I was getting a "WheelFileValidationError" on installation of debugpy which was blocking the installation of a number of other deps. Google turned up this [GitHub issue](https://github.com/microsoft/debugpy/issues/1246) indicating a regression in Poetry 1.4.1 and workarounds. This PR updates the contrib docs noting the issue and the workarounds.	2 years ago
Daniel Dror (Dubovski)	c592b12043	Allow passing in encoding to csv_loader (#1836 )	2 years ago
Ikko Eltociear Ashimine	9555bbd5bb	Fix typo in sqlite.ipynb (#1828 ) overriden -> overridden	2 years ago
Harrison Chase	0ca1641b14	release 0.0.117 (#1819 )	2 years ago
Harrison Chase	d5b4393bb2	Harrison/llm math (#1808 ) Co-authored-by: Vadym Barda <vadim.barda@gmail.com>	2 years ago
Bryan Helmig	7b6ff7fe00	Follow up to #1803 to remove dynamic docs route. (#1818 ) The base docs are going to be more stable and familiar for folks. Dynamic route is currently in flux.	2 years ago
Harrison Chase	76c7b1f677	Harrison/wandb (#1764 ) Co-authored-by: Anish Shah <93145909+ash0ts@users.noreply.github.com>	2 years ago
Paul	5aa8ece211	Corrected small typo in error message. (#1791 )	2 years ago
Harrison Chase	f6d24d5740	fix bug with openai token count (#1806 )	2 years ago
Harrison Chase	b1c4480d7c	fix typing (#1807 )	2 years ago
Daniel Chalef	b6ba989f2f	Add request timeout to ChatOpenAI (#1798 ) Add request_timeout field to ChatOpenAI. Defaults to 60s. --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org>	2 years ago
Ankush Gola	04acda55ec	Don't use dynamic api endpoint for Zapier NLA (#1803 ) From Robert "Right now the dynamic/ route for specifically the above endpoints is acting on all providers a user has set up, not just the provider for the supplied API key."	2 years ago
Harrison Chase	8e5c4ac867	bump version to 0.0.116 (#1788 )	2 years ago
Aratako	df8702fead	Small fix: Remove unused variable `summary_message_role` (#1789 ) After the changes in #1783, `summary_message_role` is no longer used in `ConversationSummaryBufferMemory`, so this PR removes it.	2 years ago
Harrison Chase	d5d50c39e6	Harrison/azure embeddings (#1787 ) Co-authored-by: Hemant <4627288+ghaccount@users.noreply.github.com>	2 years ago
Harrison Chase	1f18698b2a	Harrison/token buffer memory (#1786 ) Co-authored-by: Aratako <127325395+Aratako@users.noreply.github.com>	2 years ago
Harrison Chase	ef4945af6b	Harrison/chat token usage (#1785 )	2 years ago
Harrison Chase	7de2ada3ea	Harrison/add source column (#1784 ) Co-authored-by: Brian Graham <46691715+briangrahamww@users.noreply.github.com> Co-authored-by: briangrahamww <brian.graham@ww.com>	2 years ago
Bernat Felip i Díaz	262d4cb9a8	Use embedding instead of embedding function in ElasticVectorStore (#1692 ) While it might be a bit more restrictive, I find that using the Embedding interface as an input for the vector store creation is better than an embedding function because we can use bulk requests and possibly the retry logic if needed. I have seen that some vector store implementations use Embedding while others use embedding function so I don't know what is the criteria to have one or the other, in my opinion they should all just be Embedding or have a way more complex embedding function that accepts multiple texts instead of one by one. --------- Co-authored-by: Bernat Felip <bernat.felip@rea.ch>	2 years ago
Harrison Chase	951c158106	Harrison/summary message rol (#1783 ) Co-authored-by: Aratako <127325395+Aratako@users.noreply.github.com>	2 years ago
Bao Nguyen	85e4dd7fc3	Fix wrong prompt in refine chain (#1770 ) I got this during testing ``` ValueError: Missing some input keys: {'existing_answer'} ``` Upon review, the initial prompt should be `QUESTION_PROMPT_SELECTOR`. Co-authored-by: Bao Nguyen <bnguyen@roku.com>	2 years ago
Harrison Chase	b1b4a4065a	change chat default (#1782 ) Resolves https://github.com/hwchase17/langchain/issues/1532, resolves https://github.com/hwchase17/langchain/issues/1652.	2 years ago
Huang Chongdi	08f23c95d9	add encoding parameter to ObsidianLoader (#1752 )	2 years ago

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