langchain

Commit Graph

Author	SHA1	Message	Date
Erick Friis	bb81ae5c8c	together: fix chat model and embedding classes (#21353 )	2 months ago
Hassan El Mghari	d6ef5fe86a	together: add chat models, use openai base (#21337 ) Description: Adding chat completions to the Together AI package, which is our most popular API. Also staying backwards compatible with the old API so folks can continue to use the completions API as well. Also moved the embedding API to use the OpenAI library to standardize it further. Twitter handle: @nutlope - [x] Add tests and docs: If you're adding a new integration, please include - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Jacob Lee	a2d31307bb	Adds confirmation logs after creating a new project (#12618 ) @efriis @hwchase17 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	0fb93cd740	core: release 0.1.52 (#21350 )	2 months ago
Wu Enze	32c61b3ece	community[patch]: chat message history mypy fixes #17048 (#20114 ) Relates [#17048] Description : Applied fix to redis and neo4j file. Error was : `Cannot override writeable attribute with read-only property` fix with the same solution of [[langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py](`d5c412b0a9/libs/community/langchain_community/chat_message_histories/elasticsearch.py (L170-L175)`)] --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
nrpd25	95cc8e3fc3	premai[patch]:Standardized model init args (#21308 ) [Standardized model init args #20085](https://github.com/langchain-ai/langchain/issues/20085) - Enable premai chat model to be initialized with `model_name` as an alias for `model`, `api_key` as an alias for `premai_api_key`. - Add initialization test `test_premai_initialization` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Nuno Campos	6f17158606	fix: core: Include in json output also fields set outside the constructor (#21342 )	2 months ago
Tomaz Bratanic	ac14f171ac	Add indexed properties to neo4j enhanced schema (#21335 )	2 months ago
scaserini	a6cdf6572f	community: add Kendra DocumentRelevanceOverrideConfigurations request parameter (#20695 ) - Description: add DocumentRelevanceOverrideConfigurations request parameter to Kendra retriever Co-authored-by: Simone Caserini <simone.caserini@klarna.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Nuno Campos	0345bcf4ef	Fix failing test for serialization (#21344 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	2 months ago
Trayan Azarov	93226b1945	community: Updated Chroma version range to include 0.5.0 release (#21224 ) - Updated Chroma version range to allow releases in 0.5.x. - Bumped mypy version as linting was failing	2 months ago
Jorge Piedrahita Ortiz	e65652c3e8	community: add SambaNova embeddings integration (#21227 ) - Description: SambaNova hosted embeddings integration	2 months ago
Jorge Piedrahita Ortiz	df1c10260c	community: minor changes sambanova integration (#21231 ) - Description: fix: variable names in root validator not allowing pass credentials as named parameters in llm instancing, also added sambanova's sambaverse and sambastudio llms to __init__.py for module import	2 months ago
Jan Soubusta	d9a61c0fa9	fix: respect table_name argument when calling from_texts (#21252 ) valid for from_documents() as well fixes #21251	2 months ago
Pedro Lima	bebf46c4a2	community: added args_schema to YahooFinanceNewsTool (#21232 ) Description: this change adds args_schema (pydantic BaseModel) to YahooFinanceNewsTool for correct schema formatting on LLM function calls Issue: currently using YahooFinanceNewsTool with OpenAI function calling returns the following error "TypeError("YahooFinanceNewsTool._run() got an unexpected keyword argument '__arg1'")". This happens because the schema sent to the LLM is "input: "{'__arg1': 'MSFT'}"" while the method should be called with the "query" parameter. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Mark Cusack	060987d755	community[minor]: Add indexing via locality sensitive hashing to the Yellowbrick vector store (#20856 ) - Description: Add LSH-based indexing to the Yellowbrick vector store module - Twitter handle: @markcusack --------- Co-authored-by: markcusack <markcusack@markcusacksmac.lan> Co-authored-by: markcusack <markcusack@Mark-Cusack-sMac.local> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Rashmi Pawar	a2fdabdad2	mark NemoEmbeddings as deprecated (#21239 ) The NemoEmbeddings is deprecated, instead use langchain-nvidia-ai-endpoints NVIDIAEmbeddings interface. cc: @mattf --------- Co-authored-by: Daniel Glogowski <167348611+dglogo@users.noreply.github.com> Co-authored-by: andyjessen <62343929+andyjessen@users.noreply.github.com> Co-authored-by: Chris Germann <88305668+TAAGECH9@users.noreply.github.com> Co-authored-by: gere <gere@kapo.zh.ch> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Erick Friis	9e4b24a2d6	langchain: release 0.1.18 (#21338 )	2 months ago
Erick Friis	5c000f8d79	community: release 0.0.37 (#21332 )	2 months ago
Leonid Ganeline	8c13e8a79b	langchain: `qa_chain` fix (#21279 ) Issue: `load_qa_chain` is placed in the __init__.py file. As a result, it is not listed in the API Reference docs. BTW `load_qa_chain` is heavily presented in the doc examples, but is missed in API Ref. Change: moved code from init.py into a new file. Related: #21266	2 months ago
Erick Friis	7ecf9996f1	community: Revert "community: langkit dependency" (#21333 ) Reverts langchain-ai/langchain#21174 Hey team - going to revert this because it doesn't seem necessary for testing. We should only be adding optional + extended_testing dependencies for deps that have extended tests. otherwise it just increases probability of dependency conflicts in the community lockfile.	2 months ago
Param Singh	fee91d43b7	baichuan[patch]:standardize chat init args (#21298 ) Thank you for contributing to LangChain! community:baichuan[patch]: standardize init args updated `baichuan_api_key` so that aliased to `api_key`. Added test that it continues to set the same underlying attribute. Test checks for `SecretStr` updated `temperature` with Pydantic Field, added unit test. Related to https://github.com/langchain-ai/langchain/issues/20085	2 months ago
Leonid Ganeline	62559b20b3	docs: `chains` page format (#21259 ) Compacted the table column descriptions.	2 months ago
Christophe Bornet	484a009012	community[minor]: Relax constraints on Cassandra VectorStore constructors (#21209 ) If Session and/or keyspace are not provided, they are resolved from cassio's context. So they are not required. This change is fully backward compatible.	2 months ago
Daniel Glogowski	27e73ebe57	docs: update nvidia docs v2 (#21288 ) More doc updates por favor @baskaryan!	2 months ago
Leonid Ganeline	6feddfae88	community: langkit dependency (#21174 ) Issue: the `langkit` package is not presented in the `pyproject.toml` but it is a requirement for the `WhyLabsCallbackHandler` Change: added `langkit` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Erick Friis	811e9cee8b	core: release 0.1.51 (#21328 )	2 months ago
Pengcheng Liu	144f2821af	docs: add example for loading data from LarkSuite wiki. (#21311 ) Description: Update LarkSuite loader doc to give an example for loading data from LarkSuite wiki. Issue: None Dependencies: None Twitter handle: None	2 months ago
Mateusz Szewczyk	682d21c3de	ibm: Add support for ibm-watsonx-ai new major version (#21313 ) Thank you for contributing to LangChain! - [x] PR title: "langchain-ibm: Add support for ibm-watsonx-ai new major version" - [x] PR message: - Description: Add support for ibm-watsonx-ai new major version - Dependencies: `ibm_watsonx_ai` - [x] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Chris Papademetrious	ee6c922c91	langchain[minor]: enhance `LocalFileStore` to offer `update_atime` parameter that updates access times on read (#20951 ) Description: The `LocalFileStore` class can be used to create an on-disk `CacheBackedEmbeddings` cache. The number of files in these embeddings caches can grow to be quite large over time (hundreds of thousands) as embeddings are computed for new versions of content, but the embeddings for old/deprecated content are not removed. A least-recently-used (LRU) cache policy could be applied to the `LocalFileStore` directory to delete cache entries that have not been referenced for some time: ```bash # delete files that have not been accessed in the last 90 days find embeddings_cache_dir/ -atime 90 -print0 \| xargs -0 rm ``` However, most filesystems in enterprise environments disable access time modification on read to improve performance. As a result, the access times of these cache entry files are not updated when their values are read. To resolve this, this pull request updates the `LocalFileStore` constructor to offer an `update_atime` parameter that causes access times to be updated when a cache entry is read. For example, ```python file_store = LocalFileStore(temp_dir, update_atime=True) ``` The default is `False`, which retains the original behavior. Testing: I updated the LocalFileStore unit tests to test the access time update.	2 months ago
Tomaz Bratanic	5b6d1a907d	Add the extract types to diffbot graph transformer (#21315 ) Before you could only extract triples (diffbot calls it facts) from diffbot to avoid isolated nodes. However, sometimes isolated nodes can still be useful like for prefiltering, so we want to allow users to extract them if they want. Default behaviour is unchanged.	2 months ago
Jagadish Krishnamoorthy	c038991590	docs: Update pandas.ipynb (#21289 ) Remove the redundant comment.	2 months ago
aditya thomas	b868c78a12	partners[anthropic]: update unit test for key passed in from the environment (#21290 ) Description: Update unit test for ChatAnthropic Issue: Test for key passed in from the environment should not have the key initialized in the constructor Dependencies: None	2 months ago
tanersekmen	d310f9c71e	docs:update code structure (#21302 ) update the structure of llm_chain variables Co-authored-by: tanersemenn <0418>	2 months ago
Christophe Bornet	ba9dc04ffa	docs: Add doc for hybrid search (#21245 ) See [preview](https://langchain-git-fork-cbornet-doc-hybrid-search-langchain.vercel.app/docs/use_cases/question_answering/hybrid/) In the model of [per user retrieval](https://python.langchain.com/docs/use_cases/question_answering/per_user/)	2 months ago
Rohan Aggarwal	8021d2a2ab	community[minor]: Oraclevs integration (#21123 ) Thank you for contributing to LangChain! - Oracle AI Vector Search Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. - Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. This Pull Requests Adds the following functionalities Oracle AI Vector Search : Vector Store Oracle AI Vector Search : Document Loader Oracle AI Vector Search : Document Splitter Oracle AI Vector Search : Summary Oracle AI Vector Search : Oracle Embeddings - We have added unit tests and have our own local unit test suite which verifies all the code is correct. We have made sure to add guides for each of the components and one end to end guide that shows how the entire thing runs. - We have made sure that make format and make lint run clean. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: skmishraoracle <shailendra.mishra@oracle.com> Co-authored-by: hroyofc <harichandan.roy@oracle.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
ccurme	c9e9470c5a	langchain: fix deprecation decorators on extraction chains (#21276 ) Calling any of these raises ``` ValueError: A pending deprecation cannot have a scheduled removal ```	2 months ago
Wickes Wong	ee1adaacaa	langchain[patch]: Fix summary buffer memory with return message flag (#21115 ) ## Description Memory return could be set as `str` or `message` by `return_messages` flag as mentioned in https://python.langchain.com/docs/modules/memory/#whether-memory-is-a-string-or-a-list-of-messages, where `langchain.chains.conversation.memory.ConversationSummaryBufferMemory` did not implement that. This commit added `buffer_as_str` and `buffer_as_messages` function, and `buffer` now affected by `return_messages` flag. ## Example Test Code and Output ```python # Fix: ConversationSummaryBufferMemory with return_messages flag function # Test code from langchain.chains.conversation.memory import ConversationSummaryBufferMemory from langchain_community.llms.ollama import Ollama llm = Ollama() # Create an instance of ConversationSummaryBufferMemory with return_messages set to True memory = ConversationSummaryBufferMemory(return_messages=True, llm=llm) # Add user and AI messages to the chat memory memory.chat_memory.add_user_message("hi!") memory.chat_memory.add_ai_message("what's up?") # Print the buffer print("Buffer:") print(map(type, memory.buffer), sep="\n") print(memory.buffer, "\n") # Print the buffer as a string print("Buffer as String:") print(type(memory.buffer_as_str)) print(memory.buffer_as_str, "\n") # Print the buffer as messages print("Buffer as Messages:") print(map(type, memory.buffer_as_messages), sep="\n") print(memory.buffer_as_messages, "\n") # Print the buffer after setting return_messages to False memory.return_messages = False print("Buffer after setting return_messages to False:") print(type(memory.buffer)) print(memory.buffer, "\n") ``` ```plaintext Buffer: <class 'langchain_core.messages.human.HumanMessage'> <class 'langchain_core.messages.ai.AIMessage'> [HumanMessage(content='hi!'), AIMessage(content="what's up?")] Buffer as String: <class 'str'> Human: hi! AI: what's up? Buffer as Messages: <class 'langchain_core.messages.human.HumanMessage'> <class 'langchain_core.messages.ai.AIMessage'> [HumanMessage(content='hi!'), AIMessage(content="what's up?")] Buffer after setting return_messages to False: <class 'str'> Human: hi! AI: what's up? ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Leonid Ganeline	9639457222	community[patch]: `tools` imports (#21156 ) Issue: we have several helper functions to import third-party libraries like tools.gmail.utils.import_google in [community.tools](https://api.python.langchain.com/en/latest/community_api_reference.html#id37). And we have core.utils.utils.guard_import that works exactly for this purpose. The import_<package> functions work inconsistently and rather be private functions. Change: replaced these functions with the guard_import function. Related to #21133	2 months ago
Leonid Ganeline	3ef8b24277	core[patch]: `utils.guard_import` fix (#21133 ) Issues (nit): 1. `utils.guard_import` prints wrong error message when there is an import `error.` It prints the whole `module_name` but should be only the first part as the pip package name. E.i. `langchain_core.utils` -> print not `langchain-core` but `langchain_core.utils`. Also replace '_' with '-' in the pip package name. 2. it does not handle the `ModuleNotFoundError` which raised if `guard_import("wrong_module")` Fixed issues; added ut-s. Controversial: I've reraised `ModuleNotFoundError` as `ImportError`, since in case of the error, the proposed action is the same - we need to install a missed package.	2 months ago
Erick Friis	36c2ca3c8b	mistralai: relax tokenizers dep (#21277 )	2 months ago
Nuno Campos	6e1e0c7d5c	fix: core: draw_mermaid() would create subgroup for edges with same src and tgt (#21275 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	2 months ago
Eugene Yurtsev	26a37dce0a	langchain[patch]: Remove jsonpatch from poetry file (#21272 ) jsonpatch is only used in langchain-core not in langchain	2 months ago
Eugene Yurtsev	335bd01e45	langchain[patch]: Update deprecation warning (#21268 ) Update deprecation warning	2 months ago
Leonid Ganeline	23a05c3986	langchain: `summarize` chain fix (#21266 ) Issue: `load_summarize_chain` is placed in the __init__.py file. As a result, it doesn't listed in the API Reference docs. Change: moved code from __init__.py into a new file.	2 months ago
ccurme	6da3d92b42	(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265 ) We are pushing out the removal of these to 0.3. `find . -type f -name "*.py" -exec sed -i '' 's/removal="0\.2/removal="0.3/g' {} +`	2 months ago
Eugene Yurtsev	d6e34f9ee5	langchain[patch]: Improve deprecation warnings (#21262 ) * Remove spurious derprecation warning * Make deprecation warnings consistent with 0.1 namespaces that were announced as deprecated	2 months ago
Eugene Yurtsev	487aff7e46	langchain[patch]: Revert 20794 until 0.2 release (#21257 ) PR of 2079 was already released as part of 0.1.17rc. Issue for 0.2 release: https://github.com/langchain-ai/langchain/issues/21080	2 months ago
Eugene Yurtsev	ba4a309d98	langchain[patch]: Revert breaking change until 0.2 release (#21256 ) Reverts a minor breaking change until 0.2 release	2 months ago
Eugene Yurtsev	66a1e3f083	langchain[patch]: Fix flaky unit test (#21258 ) Should sort the results of the import test since it depends on import order	2 months ago

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