langchain

Commit Graph

Author	SHA1	Message	Date
glaze	f7ad14acfa	Add etherscan document loader (#7943 ) @rlancemartin The modification includes: * etherscanLoader * test_etherscan * document ipynb I have run the test, lint, format, and spell check. I do encounter a linting error on ipynb, I am not sure how to address that. ``` docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:55: error: Name "null" is not defined [name-defined] docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:76: error: Name "null" is not defined [name-defined] Found 2 errors in 1 file (checked 1 source file) ``` - Description: The Etherscan loader uses etherscan api to load transaction histories under specific accounts on Ethereum Mainnet. - No dependency is introduced by this PR. - Twitter handle: glazecl --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Julien Salinas	73d5cba308	Allow user to modify the GPU and language settings when using NLP Cloud (#7985 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Liu Ming	24f889f2bc	Change with_history option to False for ChatGLM by default (#8076 ) ChatGLM LLM integration will by default accumulate conversation history(with_history=True) to ChatGLM backend api, which is not expected in most cases. This PR set with_history=False by default, user should explicitly set llm.with_history=True to turn this feature on. Related PR: #8048 #7774 --------- Co-authored-by: mlot <limpo2000@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Mahip Soni	1f055775f8	Fixing issue with MSSQL connection (#8040 ) My team recently faced an issue while using MSSQL and passing a schema name. We noticed that "SET search_path TO {self.schema}" is being called for us, which is not a valid ms-sql query, and is specific to postgresql dialect. We were able to run it locally after this fix. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Anthony Mahanna	76102971c0	ArangoDB/AQL support for Graph QA Chain (#7880 ) Description: Serves as an introduction to LangChain's support for [ArangoDB](https://github.com/arangodb/arangodb), similar to https://github.com/hwchase17/langchain/pull/7165 and https://github.com/hwchase17/langchain/pull/4881 Issue: No issue has been created for this feature Dependencies: `python-arango` has been added as an optional dependency via the `CONTRIBUTING.md` guidelines Twitter handle: [at]arangodb - Integration test has been added - Notebook has been added: [graph_arangodb_qa.ipynb](https://github.com/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb) [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb) ``` docker run -p 8529:8529 -e ARANGO_ROOT_PASSWORD= arangodb/arangodb ``` ``` pip install git+https://github.com/amahanna/langchain.git ``` ```python from arango import ArangoClient from langchain.chat_models import ChatOpenAI from langchain.graphs import ArangoGraph from langchain.chains import ArangoGraphQAChain db = ArangoClient(hosts="localhost:8529").db(name="_system", username="root", password="", verify=True) graph = ArangoGraph(db) chain = ArangoGraphQAChain.from_llm(ChatOpenAI(temperature=0), graph=graph) chain.run("Is Ned Stark alive?") ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	3e7d2a1b64	SelfQuery support for deeplake (#7888 ) Added support SelfQuery for Deeplake	1 year ago
Leonid Ganeline	c580c81cca	docstrings `experimental` (#7969 ) - added/changed docstring for `experimental` - added/changed docstrings for different artifacts - @baskaryan	1 year ago
Leonid Ganeline	3eb4112a1f	Refactored `example_generator` (#8099 ) Refactored `example_generator.py`. The same as #7961 `example_generator.py` is in the root code folder. This creates the `langchain.example_generator: Example Generator ` group on the API Reference navigation ToC, on the same level as `Chains` and `Agents` which is not correct. Refactoring: - moved `example_generator.py` content into `chains/example_generator.py` (not in `utils` because the `example_generator` has dependencies on other LangChain classes. It also doesn't work for moving into `utilities/`) - added the backwards compatibility ref in the original `example_generator.py` @hwchase17	1 year ago
Leonid Ganeline	7cbe28ba9b	Refactored `input` (#8202 ) Refactored `input.py`. The same as https://github.com/langchain-ai/langchain/pull/7961 #8098 #8099 input.py is in the root code folder. This creates the `langchain.input: Input` group on the API Reference navigation ToC, on the same level as Chains and Agents which is incorrect. Refactoring: - copied input.py file into utils/input.py - I added the backwards compatibility ref in the original input.py. - changed several imports to a new ref @hwchase17, @baskaryan	1 year ago
Monty Evans	72eb4fa4e8	Change WebBaseLoader metadata parsing to set missing metadata to descriptive string instead of `None` (#8175 ) Solves #8174 & #3542 Co-authored-by: mevans <mevans@palantir.com>	1 year ago
Bagatur	1a7d8667c8	Bagatur/gateway chat (#8198 ) Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com>	1 year ago
Ettore Di Giacinto	ae28568e2a	Add embeddings for LocalAI (#8134 ) Description: This PR adds embeddings for LocalAI ( https://github.com/go-skynet/LocalAI ), a self-hosted OpenAI drop-in replacement. As LocalAI can re-use OpenAI clients it is mostly following the lines of the OpenAI embeddings, however when embedding documents, it just uses string instead of sending tokens as sending tokens is best-effort depending on the model being used in LocalAI. Sending tokens is also tricky as token id's can mismatch with the model - so it's safer to just send strings in this case. Partly related to: https://github.com/hwchase17/langchain/issues/5256 Dependencies: No new dependencies Twitter: @mudler_it --------- Signed-off-by: mudler <mudler@localai.io> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Mike Nitsenko	d983046f90	Extend Cube Semantic Loader functionality (#8186 ) PR Description: This pull request introduces several enhancements and new features to the `CubeSemanticLoader`. The changes include the following: 1. Added imports for the `json` and `time` modules. 2. Added new constructor parameters: `load_dimension_values`, `dimension_values_limit`, `dimension_values_max_retries`, and `dimension_values_retry_delay`. 3. Updated the class documentation with descriptions for the new constructor parameters. 4. Added a new private method `_get_dimension_values()` to retrieve dimension values from Cube's REST API. 5. Modified the `load()` method to load dimension values for string dimensions if `load_dimension_values` is set to `True`. 6. Updated the API endpoint in the `load()` method from the base URL to the metadata endpoint. 7. Refactored the code to retrieve metadata from the response JSON. 8. Added the `column_member_type` field to the metadata dictionary to indicate if a column is a measure or a dimension. 9. Added the `column_values` field to the metadata dictionary to store the dimension values retrieved from Cube's API. 10. Modified the `page_content` construction to include the column title and description instead of the table name, column name, data type, title, and description. These changes improve the functionality and flexibility of the `CubeSemanticLoader` class by allowing the loading of dimension values and providing more detailed metadata for each document. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	82b8d8596c	bump lc241 exp3 (#8193 )	1 year ago
Leonid Ganeline	848454d1e7	Refactored `formatting` (#8191 ) Refactored `formatting.py`. The same as https://github.com/langchain-ai/langchain/pull/7961 #8098 #8099 formatting.py is in the root code folder. This creates the `langchain.formatting: Formatting` group on the API Reference navigation ToC, on the same level as Chains and Agents which is incorrect. Refactoring: - moved formatting.py content into utils/formatting.py - I did not add the backwards compatibility ref in the original formatting.py. It seems unnecessary. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	4928f7a9f5	undo bump (#8192 )	1 year ago
Leonid Ganeline	120cdf813d	docstrings `memory` (#8018 ) docstrings `memory`: - added module summary - added missed docstrings - updated docstrings into consistent format - @baskaryan	1 year ago
Bagatur	d5689d58ab	Bagatur/bump 241 (#8182 )	1 year ago
Harrison Chase	3caccf304c	Harrison/hugginggpt (#8162 ) Co-authored-by: Yongliang Shen <withsyl@163.com>	1 year ago
rajib	f3908627ed	changed to mlflow-ai-gateway in llms/__init__.py (#8114 ) - Description: In the llms/__init__.py, the key name is wrong for mlflowaigateway. It should be mlflow-ai-gateway - Issue: NA - Dependencies: NA - Tag maintainer: @hwchase17, @baskaryan - Twitter handle: na Without this fix, when we run the code for mlflowaigateway, we will get error as below ValueError: Loading mlflow-ai-gateway LLM not supported --------- Co-authored-by: rajib76 <rajib76@yahoo.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Gordon Clark	80b3ec5869	GitHub toolkit improvements (#8121 ) Fixes an issue with the github tool where the API returned special objects but the tool was expecting dictionaries. Also added proper docstrings to the GitHubAPIWraper methods and a (very basic) integration test. Maintainer responsibilities: - Agents / Tools / Toolkits: @hinthornw --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
shibuiwilliam	8f5000146c	add faiss test for score threshold (#8143 ) # What - Add faiss vector search test for score threshold - Fix failing faiss vector search test; filtering with list value is wrong. <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Add faiss vector search test for score threshold; Fix failing faiss vector search test; filtering with list value is wrong. - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Nolan	7686dabd36	Unbreak devcontainer (#8154 ) Codespaces and devcontainer was broken by the [repo restructure](https://github.com/langchain-ai/langchain/discussions/8043). - Description: Add libs/langchain to container so it can be built without error. - Issue: - - Dependencies: - - Tag maintainer: @hwchase17 @baskaryan - Twitter handle: @finnless The failed build log says: ``` #10 [langchain-dev-dependencies 2/2] RUN poetry install --no-interaction --no-ansi --with dev,test,docs #10 sha256:e850ee99fc966158bfd2d85e82b7c57244f47ecbb1462e75bd83b981a56a1929 2023-07-23 23:30:33.692Z: #10 0.827 #10 0.827 Directory libs/langchain does not exist 2023-07-23 23:30:33.738Z: #10 ERROR: executor failed running [/bin/sh -c poetry install --no-interaction --no-ansi --with dev,test,docs]: exit code: 1 ``` The new pyproject.toml imports from libs/langchain: `77bf75c236/pyproject.toml (L14-L16)` But libs/langchain is never added to the dev.Dockerfile: `77bf75c236/libs/langchain/dev.Dockerfile (L37-L39)`	1 year ago
Harrison Chase	9205919ad2	actually use input key (#8136 )	1 year ago
Leonid Ganeline	670304a8b3	simplified nmspace (#8152 ) recreated #7894 (it is easy to recreate than resolve conflicts) A small refactoring to improve the API Reference Agents table @baskaryan	1 year ago
William FH	c5b50be225	Function calling logging fixup (#8153 ) Fix bad overwriting of "functions" arg in invocation params. Cleanup precedence in the dict Clean up some inappropriate types (mapping should be dict) Example: https://dev.smith.langchain.com/public/9a7a6817-1679-49d8-8775-c13916975aae/r ![image](https://github.com/langchain-ai/langchain/assets/13333726/94cd0775-b6ef-40c3-9e5a-3ab65e466ab9)	1 year ago
SlapDrone	961a0e200f	Implement AgentExecutorIterator (#6929 ) - Description: Implements a `.iter()` method for the `AgentExecutor` class. This allows hooking into and intercepting intermediate agent steps. - Issue: #6925 - Dependencies: None - Tag maintainer: @vowelparrot @agola11 - Twitter handle: @SlapDron3 @lacicocodes --------- Co-authored-by: Lacico <Lacicocodes@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	77bf75c236	bump experimental to 002 (#8150 )	1 year ago
Harrison Chase	e46126eac6	add llamaapi (#8140 )	1 year ago
Harrison Chase	cbf2fc8af8	prompt ergonomics (#7799 )	1 year ago
Harrison Chase	9f3073d418	bump versions (#8129 )	1 year ago
Harrison Chase	86946a47a8	Harrison/add back in experimental (#8128 )	1 year ago
Karthik Raja A	8b08687fc4	MultiOn client toolkit (#8110 ) Addition of MultiOn Client Agent Toolkit Dependencies: multion pip package This PR consists of the following: - MultiOn utility,tools and integration with agent - sample jupyter notebook. Request @hwchase17 , @hinthornw --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	aa0e69bc98	Harrison/official pre release (#8106 )	1 year ago
Philip Kiely - Baseten	95bcf68802	add kwargs support for Baseten models (#8091 ) This bugfix PR adds kwargs support to Baseten model invocations so that e.g. the following script works properly: ```python chatgpt_chain = LLMChain( llm=Baseten(model="MODEL_ID"), prompt=prompt, verbose=False, memory=ConversationBufferWindowMemory(k=2), llm_kwargs={"max_length": 4096} ) ```	1 year ago
Harrison Chase	8dcabd9205	bump releases rc0 (#8097 )	1 year ago
Harrison Chase	d353d668e4	remove CVEs (#8092 ) This PR aims to move all code with CVEs into `langchain.experimental`. Note that we are NOT yet removing from the core `langchain` package - we will give people a week to migrate here. See MIGRATE.md for how to migrate Zero changes to functionality Vulnerabilities this addresses: PALChain: - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5752409 - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5759265 SQLDatabaseChain - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5759268 `load_prompt` (Python files only) - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5725807	1 year ago
Bagatur	08c658d3f8	fix api ref (#8083 )	1 year ago
Harrison Chase	da04760de1	Harrison/move experimental (#8084 )	1 year ago
Harrison Chase	f35db9f43e	(WIP) set up experimental (#7959 )	1 year ago

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3440 Commits (f1313339ac6f45bcf0afcf572d372c7e3660c0af)