community: improved the suffix prompt to avoid loop #17791
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The agent was not finding the server base URL. This small change narrows the search an enables finding.
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Description: In this PR, I am adding a PolygonTickerNews Tool, which can be used to get the latest news for a given ticker / stock. Twitter handle: [@virattt](https://twitter.com/virattt)
…ngchain-ai#17815) This way we can document APIs in methods signature only where they are checked by the typing system and we get them also in the param description without having to duplicate in the docstrings (where they are unchecked). Twitter: @cbornet_
langchain-ai#17745) Sent to LangSmith Thank you for contributing to LangChain! Checklist: - [ ] PR title: Please title your PR "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 template message** and replace it with the following bulleted list - **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! - [ ] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [ ] 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. 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.
relock to newest sdk
…ain-ai#17789) Co-authored-by: Erick Friis <erick@langchain.dev>
…n (reopen langchain-ai#16629) (langchain-ai#17404) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
Removes /platform redirects as well as any redirects whose source hasn't been touched in over 6 months
👥 Update LangChain people data --------- Co-authored-by: github-actions <github-actions@github.com>
…-ai#17811) community[patch]: typo in doc-string for kdbai vectorstore (langchain-ai#17811)
… AsyncRedisCache (langchain-ai#17171) - **Description:** The existing `RedisCache` implementation lacks proper handling for redis client failures, such as `ConnectionRefusedError`, leading to subsequent failures in pipeline components like LLM calls. This pull request aims to improve error handling for redis client issues, ensuring a more robust and graceful handling of such errors. - **Issue:** Fixes langchain-ai#16866 - **Dependencies:** No new dependency - **Twitter handle:** N/A Co-authored-by: snsten <> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Issue in the API Reference: If the `Classes` of `Functions` section is empty, it still shown in API Reference. Here is an [example](https://api.python.langchain.com/en/latest/core_api_reference.html#module-langchain_core.agents) where `Functions` table is empty but still presented. It happens only if this section has only the "private" members (with names started with '_'). Those members are not shown but the whole member section (empty) is shown.
**Description:** update sparkllm intro doc. **Issue:** None **Dependencies:** None **Twitter handle:** None
…re (langchain-ai#17871) In this pull request, we introduce the add_images method to the SingleStoreDB vector store class, expanding its capabilities to handle multi-modal embeddings seamlessly. This method facilitates the incorporation of image data into the vector store by associating each image's URI with corresponding document content, metadata, and either pre-generated embeddings or embeddings computed using the embed_image method of the provided embedding object. the change includes integration tests, validating the behavior of the add_images. Additionally, we provide a notebook showcasing the usage of this new method. --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
- **Description:** a minor grammatical correction.
- **Description:** fix doc typo
…n-ai#17739) **Description:** Here is a minimal example to illustrate behavior: ```python from langchain_core.runnables import RunnableLambda def my_function(*args, **kwargs): return 3 + kwargs.get("n", 0) runnable = RunnableLambda(my_function).bind(n=1) assert 4 == runnable.invoke({}) assert [4] == list(runnable.stream({})) assert 4 == await runnable.ainvoke({}) assert [4] == [item async for item in runnable.astream({})] ``` Here, `runnable.invoke({})` and `runnable.stream({})` work fine, but `runnable.ainvoke({})` raises ``` TypeError: RunnableLambda._ainvoke.<locals>.func() got an unexpected keyword argument 'n' ``` and similarly for `runnable.astream({})`: ``` TypeError: RunnableLambda._atransform.<locals>.func() got an unexpected keyword argument 'n' ``` Here we assume that this behavior is undesired and attempt to fix it. **Issue:** langchain-ai#17241, langchain-ai#16446
…ixed headings and comments (langchain-ai#18135) This PR updates azuresearch.ipynb with an edit to the introduction sentence, consistent heading levels, and disambiguation in code comments.
- **Description:** Added Integration with Meta AI's LASER Language-Agnostic SEntence Representations embedding library, which supports multilingual embedding for any of the languages listed here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200, including several low resource languages - **Dependencies:** laser_encoders
…n vectorstores.clickhouse (langchain-ai#18107) ## Description & Issue While following the official doc to use clickhouse as a vectorstore, I found only the default `annoy` index is properly supported. But I want to try another engine `usearch` for `annoy` is not properly supported on ARM platforms. Here is the settings I prefer: ``` python settings = ClickhouseSettings( table="wiki_Ethereum", index_type="usearch", # annoy by default index_param=[], ) ``` The above settings do not work for the command `set allow_experimental_annoy_index=1` is hard-coded. This PR will make sure the experimental feature follow the `index_type` which is also consistent with Clickhouse's naming conventions.
…ireworks.with_structured_output (langchain-ai#18078) <img width="1192" alt="Screenshot 2024-02-24 at 3 39 39 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/1cf74774-a23f-4b06-9b9b-85dfa2f75b63">
- **Description:** New vectorstore integration with the Kinetica database - **Issue:** - **Dependencies:** the Kinetica Python API `pip install gpudb==7.2.0.1`, - **Tag maintainer:** @baskaryan, @hwchase17 - **Twitter handle:** --------- Co-authored-by: Chad Juliano <cjuliano@kinetica.com>
…esent (langchain-ai#18103) - **Description:** By default it expects a list but that's not the case in corner scenarios when there is no document ingested(use case: Bootstrap application). \ Hence added as check, if the instance is panda Dataframe instead of list then it will procced with return immediately. - **Issue:** NA - **Dependencies:** NA - **Twitter handle:** jaskiratsingh1 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
…-ai#16807) **Description** Adding different threshold types to the semantic chunker. I’ve had much better and predictable performance when using standard deviations instead of percentiles.  For all the documents I’ve tried, the distribution of distances look similar to the above: positively skewed normal distribution. All skews I’ve seen are less than 1 so that explains why standard deviations perform well, but I’ve included IQR if anyone wants something more robust. Also, using the percentile method backwards, you can declare the number of clusters and use semantic chunking to get an ‘optimal’ splitting. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
### Description This PR moves the Elasticsearch classes to a partners package. Note that we will not move (and later remove) `ElasticKnnSearch`. It were previously deprecated. `ElasticVectorSearch` is going to stay in the community package since it is used quite a lot still. Also note that I left the `ElasticsearchTranslator` for self query untouched because it resides in main `langchain` package. ### Dependencies There will be another PR that updates the notebooks (potentially pulling them into the partners package) and templates and removes the classes from the community package, see langchain-ai#17468 #### Open question How to make the transition smooth for users? Do we move the import aliases and require people to install `langchain-elasticsearch`? Or do we remove the import aliases from the `langchain` package all together? What has worked well for other partner packages? --------- Co-authored-by: Erick Friis <erick@langchain.dev>
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…n-ai#17791) Small improvement to the openapi prompt. The agent was not finding the server base URL (looping through all nodes). This small change narrows the search and enables finding the url faster. No dependency Twitter : @al1pra
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…n-ai#17791) Small improvement to the openapi prompt. The agent was not finding the server base URL (looping through all nodes). This small change narrows the search and enables finding the url faster. No dependency Twitter : @al1pra
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Small improvement to the openapi prompt. The agent was not finding the server base URL (looping through all nodes). This small change narrows the search and enables finding the url faster. No dependency Twitter : @al1pra
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Small improvement to the openapi prompt.
The agent was not finding the server base URL (looping through all nodes). This small change narrows the search and enables finding the url faster.
No dependency
Twitter : @al1pra