- **Description:** URL is appended with = which is not working
- **Issue:** removing the = symbol makes the URL valid
- **Twitter handle:** @arunprakash_com
Co-authored-by: Erick Friis <erick@langchain.dev>
This PR updates the documentation examples that used
RunnableWithMessageHistory to show how to achieve the same
implementation with langgraph memory.
Some of the underlying PRs (not all of them):
- docs[patch]: update chatbot tutorial and migration guide (#26780)
- docs[patch]: update chatbot memory how-to (#26790)
- docs[patch]: update chatbot tools how-to (#26816)
- docs: update chat history in rag how-to (#26821)
- docs: update trim messages notebook (#26793)
- docs: clean up imports in how to guide for rag qa with chat history
(#26825)
- docs[patch]: update conversational rag tutorial (#26814)
---------
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Vadym Barda <vadym@langchain.dev>
Co-authored-by: mercyspirit <ziying.qiu@gmail.com>
Co-authored-by: aqiu7 <aqiu7@gatech.edu>
Co-authored-by: John <43506685+Coniferish@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Subhrajyoty Roy <subhrajyotyroy@gmail.com>
Co-authored-by: Rajendra Kadam <raj.725@outlook.com>
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
Co-authored-by: Devin Gaffney <itsme@devingaffney.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
**Description**:
Adds a vector store integration with
[sqlite-vec](https://alexgarcia.xyz/sqlite-vec/), the successor to
sqlite-vss that is a single C file with no external dependencies.
Pretty straightforward, just copy-pasted the sqlite-vss integration and
made a few tweaks and added integration tests. Only question is whether
all documentation should be directed away from sqlite-vss if it is
defacto deprecated (cc @asg017).
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: philippe-oger <philippe.oger@adevinta.com>
security scanners can't distinguish monorepo sources from each other.
this will resolve issues for folks trying to use e.g. langchain-core but
getting security issues from experimental flagged!
The `Without examples 😿` and `With examples 😻` should have different
outputs to illustrate their point.
See v0.2 docs.
https://python.langchain.com/docs/how_to/extraction_examples/#without-examples-
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
- **Description:** The flag is named `anonymize_snippets`. When set to
true, the Pebblo server will anonymize snippets by redacting all
personally identifiable information (PII) from the snippets going into
VectorDB and the generated reports
- **Issue:** NA
- **Dependencies:** NA
- **docs**: Updated
**Description:** Add support to delete documents automatically from the
caches & chat message history by adding a new optional parameter, `ttl`.
- [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
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---------
Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
There is a small bug in "TypedDict class" sample source.
Thank you for contributing to LangChain!
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langchain.
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`unstructured.partition.auto.partition` supports a `url` kwarg, but
`url` in `UnstructuredLoader.__init__` is reserved for the server URL.
Here we add a `web_url` kwarg that is passed to the partition kwargs:
```python
self.unstructured_kwargs["url"] = web_url
```
Thank you for contributing to LangChain!
- [x] **PR title**: "package: description"
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Added search options for BoxRetriever and added documentation to
demonstrate how to use BoxRetriever as an agent tool - @BoxPlatform
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- **Description:** the example to perform hybrid search with the
Elasticsearch retriever is out of date
- **Issue:** N/A
- **Dependencies:** N/A
Co-authored-by: Erick Friis <erick@langchain.dev>
fix#26370
- #26370
`GoogleSpeechToTextLoader` is a deprecated method in
`langchain_community.document_loaders.google_speech_to_text`.
The new recommended usage is to use `SpeechToTextLoader` from
`langchain_google_community`.
When importing from `langchain_google_community`, use the name
`SpeechToTextLoader` instead of the old `GoogleSpeechToTextLoader`.
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
- [x] **PR title**: Fix typo in conda environment code block in
rag.ipynb
- In docs/tutorials/rag.ipynb
Co-authored-by: Erick Friis <erick@langchain.dev>
We recently renamed `MLflow Deployments Server` to `MLflow AI Gateway`
in mlflow. This PR updates the relevant notebooks to use `MLflow AI
gateway`
---
Thank you for contributing to LangChain!
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---------
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
- [x] **PR title**: "package: description"
docs:integrations:vectorstores:chroma:fix_typo
- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** fix_typo in docs:integrations:vectorstores:chroma
https://python.langchain.com/docs/integrations/vectorstores/chroma/
- **Issue:** https://github.com/langchain-ai/langchain/issues/26561
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…omSelfQueryRetriever`
This commit corrects an issue in the `_get_docs_with_query` method of
the `CustomSelfQueryRetriever` class. The method was incorrectly using
`self.vectorstore.similarity_search_with_score(query, **search_kwargs)`
without including the `self` argument, which is required for proper
method invocation.
The `self` argument is necessary for calling instance methods and
accessing instance attributes. By including `self` in the method call,
we ensure that the method is correctly executed in the context of the
current instance, allowing it to function as intended.
No other changes were made to the method's logic or functionality.
Thank you for contributing to LangChain!
- [ ] **PR title**: "package: description"
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Co-authored-by: Erick Friis <erick@langchain.dev>
Firecrawl integration is currently on v0 - which is supported until
version 0.0.20.
@rafaelsideguide is working on a pr for v1 but meanwhile we should fix
the docs.
Thank you for contributing to LangChain!
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- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
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---------
Co-authored-by: Jess Ou <jessou@jesss-mbp.local.meter>
Co-authored-by: Erick Friis <erick@langchain.dev>
While going through the chatbot tutorial, I noticed a couple of typos
and grammatical issues. Also, the pip install command for
langchain_community was commented out, but the document mentions
installing it.
---------
Co-authored-by: Erick Friis <erickfriis@gmail.com>
Thank you for contributing to LangChain!
- [ ] **PR title**: "package: description"
docs:tutorials:llm_chain:fix typo
- [ ] **PR message**:
fix typo in llm chain tutorial
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Co-authored-by: Erick Friis <erick@langchain.dev>
Hello,
fix: https://github.com/langchain-ai/langchain/issues/26183
Adding documentation regarding SQL like filter for Google BigQuery
Vector Search coming in next langchain-google-community 1.0.9 release.
Note: langchain-google-community==1.0.9 is not yet released
Question: There is no way to warn the user int the doc about the
availability of a feature after a specific package version ?
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
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- [x] **PR message**: ***Delete this entire checklist*** and replace
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- **Description:** Fix docstring for two functions that look like have
docstrings carried over from other functions.
- **Issue:** Not found issue reporting the miss-leading docstrings.
- **Dependencies:** None
- **Twitter handle:**
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---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Changed
> "At a high-level, the steps of constructing a knowledge are from text
are:"
to
> "At a high-level, the steps of constructing a knowledge graph from
text are:"
Co-authored-by: Erick Friis <erick@langchain.dev>
This PR fixes a minor typo in the ScrapflyLoader documentation. The word
"passigng" was changed to "passing."
Before: passigng
After: passing
This change improves the clarity and professionalism of the
documentation.
Co-authored-by: Ashar <asharmalik.ds193@gmail.com>
Updating the gateway pages in the documentation to name the
`langchain-databricks` integration.
---------
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **PR title**: "community: add Jina Search tool"
- **Description:** Added the Jina Search tool for querying the Jina
search API. This includes the implementation of the JinaSearchAPIWrapper
and the JinaSearch tool, along with a Jupyter notebook example
demonstrating its usage.
- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** [Twitter
handle](https://x.com/yashp3020?t=7wM0gQ7XjGciFoh9xaBtqA&s=09)
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---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Thank you for contributing to LangChain!
- [ ] **PR title**:
docs: fix typo in summarization_tutorial
- [ ] **PR message**:
docs: fix couple of typos in summarization_tutorial
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**Description:** [IPEX-LLM](https://github.com/intel-analytics/ipex-llm)
is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local
PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low
latency. This PR adds Intel GPU support to `ipex-llm` llm integration.
**Dependencies:** `ipex-llm`
**Contribution maintainer**: @ivy-lv11 @Oscilloscope98
**tests and docs**:
- Add: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb
- Update: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb
- Update: langchain/libs/community/tests/llms/test_ipex_llm.py
---------
Co-authored-by: ivy-lv11 <zhicunlv@gmail.com>
Thank you for contributing to LangChain!
**Description:**
The current documentation of using the Huggingface with Langchain needs
to set return_full_text as False otherwise pipeline by default returns
both the prompt and response as output.
Code to reproduce:
```python
from langchain_huggingface import ChatHuggingFace, HuggingFacePipeline
from langchain_core.messages import (
HumanMessage,
SystemMessage,
)
llm = HuggingFacePipeline.from_model_id(
model_id="microsoft/Phi-3.5-mini-instruct",
task="text-generation",
pipeline_kwargs=dict(
max_new_tokens=512,
do_sample=False,
repetition_penalty=1.03,
# return_full_text=False
),
device=0
)
chat_model = ChatHuggingFace(llm=llm)
messages = [
SystemMessage(content="You're a helpful assistant"),
HumanMessage(
content="What happens when an unstoppable force meets an immovable object?"
),
]
ai_msg = chat_model.invoke(messages)
print(ai_msg.content)
```
Output:
```
<|system|>
You're a helpful assistant<|end|>
<|user|>
What happens when an unstoppable force meets an immovable object?<|end|>
<|assistant|>
The scenario of an "unstoppable force" meeting an "immovable object" is a classic paradox that has puzzled philosophers, scientists, and thinkers for centuries. In physics, however, there are no such things as truly unstoppable forces or immovable objects because all physical entities have mass and interact with other masses through fundamental forces (like gravity).
When we consider the laws of motion, particularly Newton's third law which states that for every action, there is an equal and opposite reaction, it becomes clear that if one were to exist, the other would necessarily be negated by the interaction. For example, if you push against a solid wall with great force, the wall exerts an equal and opposite force back on you, preventing your movement.
In theoretical discussions, this paradox often serves as a thought experiment to explore concepts like determinism versus free will, the limits of physical laws, and the nature of reality itself. However, in practical terms, any force applied to an object will result in some form of deformation, transfer of energy, or movement, depending on the properties of both the force and the object.
So while the idea of an unstoppable force and an immovable object remains a fascinating philosophical conundrum, it does not hold up under the scrutiny of physical laws as we understand them.
```
---------
Co-authored-by: Kirushikesh D B kirushi@ibm.com <kirushi@cccxl012.pok.ibm.com>
Thank you for contributing to LangChain!
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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/
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, ccurme, vbarda, hwchase17.
- **Description:** if you use callback handlers when using tool,
run_manager will be added to input, so you need to explicitly specify
args_schema, but i was confused because it was not listed, so i added
it. Also, it seems that the type does not work with pydantic.BaseModel.
- **Issue:** None
- **Dependencies:** None
- [x] **PR title - community: add neo4j query constructor for self
query**
- [x] **PR message**
- **Description:** adding a Neo4jTranslator so that the Neo4j vector
database can use SelfQueryRetriever
- **Issue:** this issue had been raised before in #19748
- **Dependencies:** none.
- **Twitter handle:** @moyi_dang
- p.s. I have not added the query constructor in BUILTIN_TRANSLATORS in
this PR, I want to make changes to only one package at a time.
- [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/
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, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Added: arxiv references to the concepts page.
Regenerated: arxiv references page.
Improved: formatting of the concepts page (moved the Partner packages
section after langchain_community)
Thank you for contributing to LangChain!
- [ ] **PR title**: docs: fixed syntax error in ChatAnthropic Example -
rag app tutorial notebook - generation
- [ ] **PR message**:
- **Description:** Fixed a syntax error in the ChatAnthropic
initialization example in the RAG tutorial notebook. The original code
had an extra set of quotation marks around the model parameter, which
would cause a Python syntax error. The corrected version removes these
unnecessary quotes.
- **Dependencies:** No new dependencies required for this documentation
fix.
I've verified that the corrected code is syntactically valid and matches
the expected format for initializing a ChatAnthropic instance in
LangChain.
- **Twitter handle:** madhu_shantan
- [ ] **Add tests and docs**: the error in Jupyter notebook:
<img width="1189" alt="Screenshot 2024-08-29 at 12 43 47 AM"
src="https://github.com/user-attachments/assets/07148a93-300f-40e2-ad4a-ac219cbb56a4">
the corrected cell:
<img width="983" alt="Screenshot 2024-08-29 at 12 44 18 AM"
src="https://github.com/user-attachments/assets/75b1455a-3671-454e-ac16-8ca77c049dbd">
- [ ] **Lint and test**: As this is a documentation-only change, I have
not run the full test suite. However, I have verified that the corrected
code example is syntactically valid and matches the expected usage of
the ChatAnthropic class.
the error in the docs is here -
<img width="1020" alt="Screenshot 2024-08-29 at 12 48 36 AM"
src="https://github.com/user-attachments/assets/812ccb20-b411-4a5b-afc1-41742efb32a7">
I have validated langchain interface with tei/tgi works as expected when
TEI and TGI running on Intel Gaudi2. Adding some references to notebooks
to help users find relevant info.
---------
Co-authored-by: Rita Brugarolas <rbrugaro@idc708053.jf.intel.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
### Summary
Add `DatabricksVectorSearch` and `DatabricksEmbeddings` classes to the
`langchain-databricks` partner packages. Core functionality is
unchanged, but the vector search class is largely refactored for
readability and maintainability.
This PR does not add integration tests yet. This will be added once the
Databricks test workspace is ready.
Tagging @efriis as POC
### Tracker
[✅] Create a package and imgrate ChatDatabricks
[✍️] Migrate DatabricksVectorSearch, DatabricksEmbeddings, and their
docs
~[ ] Migrate UCFunctionToolkit and its doc~
[ ] Add provider document and update README.md
[ ] Add integration tests and set up secrets (after moved to an external
package)
[ ] Add deprecation note to the community implementations.
---------
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Be more explicit in the docs about creating an instance of the
UnstructuredClient if you want to customize it versus using sdk
parameters with the UnstructuredLoader.
Bump the unstructured-client dependency as discussed
[here](https://github.com/langchain-ai/langchain/discussions/25328#discussioncomment-10350949)
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
# Issue
As of late July, Perplexity [no longer supports Llama 3
models](https://docs.perplexity.ai/changelog/introducing-new-and-improved-sonar-models).
# Description
This PR updates the default model and doc examples to reflect their
latest supported model. (Mostly updating the same places changed by
#23723.)
# Twitter handle
`@acompa_` on behalf of the team at Not Diamond. Check us out
[here](https://notdiamond.ai).
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
- Output of the cells was not included in the documentation. I have
added them.
- There is another parameter in the `WikipediaLoader` class called
`doc_content_chars_max` (Based on
[this](https://api.python.langchain.com/en/latest/document_loaders/langchain_community.document_loaders.wikipedia.WikipediaLoader.html)).
I have included this in the list of parameters.
- I put the list of parameters under a new section called "Parameters"
in the documentation.
- I also included the `langchain_community` package in the installation
command.
- Some minor formatting/spelling issues were fixed.
This PR adds tiny improvements to the `GithubFileLoader` document loader
and its code sample, addressing the following issues:
1. Currently, the `file_extension` argument of `GithubFileLoader` does
not change its behavior at all.
1. The `GithubFileLoader` sample code in
`docs/docs/integrations/document_loaders/github.ipynb` does not work as
it stands.
The respective solutions I propose are the following:
1. Remove `file_extension` argument from `GithubFileLoader`.
1. Specify the branch as `master` (not the default `main`) and rename
`documents` as `document`.
---------
Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>
**Description:** This part of the documentation didn't explain about the
`required` property of function calling. I added additional line as a
note.
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
- **Description:** In GitLab we call these "merge requests" rather than
"pull requests" so I thought I'd go ahead and update the notebook.
- **Issue:** N/A
- **Dependencies:** none
- **Twitter handle:** N/A
Thanks for creating the tools and notebook to help people work with
GitLab. I thought I'd contribute some minor docs updates here.
### Summary
Create `langchain-databricks` as a new partner packages. This PR does
not migrate all existing Databricks integration, but the package will
eventually contain:
* `ChatDatabricks` (implemented in this PR)
* `DatabricksVectorSearch`
* `DatabricksEmbeddings`
* ~`UCFunctionToolkit`~ (will be done after UC SDK work which
drastically simplify implementation)
Also, this PR does not add integration tests yet. This will be added
once the Databricks test workspace is ready.
Tagging @efriis as POC
### Tracker
[✍️] Create a package and imgrate ChatDatabricks
[ ] Migrate DatabricksVectorSearch, DatabricksEmbeddings, and their docs
~[ ] Migrate UCFunctionToolkit and its doc~
[ ] Add provider document and update README.md
[ ] Add integration tests and set up secrets (after moved to an external
package)
[ ] Add deprecation note to the community implementations.
---------
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
**Description:** Adding `BoxRetriever` for langchain_box. This retriever
handles two use cases:
* Retrieve all documents that match a full-text search
* Retrieve the answer to a Box AI prompt as a Document
**Twitter handle:** @BoxPlatform
- [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/
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, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
-Description: Adding new package: `langchain-box`:
* `langchain_box.document_loaders.BoxLoader` — DocumentLoader
functionality
* `langchain_box.utilities.BoxAPIWrapper` — Box-specific code
* `langchain_box.utilities.BoxAuth` — Helper class for Box
authentication
* `langchain_box.utilities.BoxAuthType` — enum used by BoxAuth class
- Twitter handle: @boxplatform
- [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/
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, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Erick Friis <erickfriis@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
The new `langchain-ollama` package seems pretty well implemented, but I
noticed the docs were still outdated so I decided to fix em up a bit.
- Llama3.1 was release on 23rd of July;
https://ai.meta.com/blog/meta-llama-3-1/
- Ollama supports tool calling since 25th of July;
https://ollama.com/blog/tool-support
- LangChain Ollama partner package was released 1st of august;
https://pypi.org/project/langchain-ollama/
**Problem**: Docs note langchain-community instead of langchain-ollama
**Solution**: Update docs to
https://python.langchain.com/v0.2/docs/integrations/chat/ollama/
**Problem**: OllamaFunctions is deprecated, as noted on
[Integrations](https://python.langchain.com/v0.2/docs/integrations/chat/ollama_functions/):
This was an experimental wrapper that attempts to bolt-on tool calling
support to models that do not natively support it. The [primary Ollama
integration](https://python.langchain.com/v0.2/docs/integrations/chat/ollama/) now
supports tool calling, and should be used instead.
**Solution**: Delete old notebook from repo, update the existing one
with @tool decorator + pydantic examples to the notebook
**Problem**: Llama3.1 was released while llama3-groq-tool-call fine-tune
Is noted in notebooks.
**Solution**: update docs + notebooks to llama3.1 (which has improved
tool calling support)
**Problem**: Install instructions are incomplete, there is no
information to download a model and/or run the Ollama server
**Solution**: Add simple instructions to start the ollama service and
pull model (for toolcalling)
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
fix: #25482
- **Description:**
Add a prompt to install beautifulsoup4 in places where `from
langchain_community.document_loaders import WebBaseLoader` is used.
- **Issue:** #25482
**Description:** This PR fixes an issue in the demo notebook of
Databricks Vector Search in "Work with Delta Sync Index" section.
**Issue:** N/A
**Dependencies:** N/A
---------
Co-authored-by: Chengzu Ou <chengzu.ou@databrick.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Check whether the API key is already in the environment
Update:
```python
import getpass
import os
os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com"
os.environ["DATABRICKS_TOKEN"] = getpass.getpass("Enter your Databricks access token: ")
```
To:
```python
import getpass
import os
os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com"
if "DATABRICKS_TOKEN" not in os.environ:
os.environ["DATABRICKS_TOKEN"] = getpass.getpass(
"Enter your Databricks access token: "
)
```
grit migration:
```
engine marzano(0.1)
language python
`os.environ[$Q] = getpass.getpass("$X")` as $CHECK where {
$CHECK <: ! within if_statement(),
$CHECK => `if $Q not in os.environ:\n $CHECK`
}
```
- [x] NatbotChain: move to community, deprecate langchain version.
Update to use `prompt | llm | output_parser` instead of LLMChain.
- [x] LLMMathChain: deprecate + add langgraph replacement example to API
ref
- [x] HypotheticalDocumentEmbedder (retriever): update to use `prompt |
llm | output_parser` instead of LLMChain
- [x] FlareChain: update to use `prompt | llm | output_parser` instead
of LLMChain
- [x] ConstitutionalChain: deprecate + add langgraph replacement example
to API ref
- [x] LLMChainExtractor (document compressor): update to use `prompt |
llm | output_parser` instead of LLMChain
- [x] LLMChainFilter (document compressor): update to use `prompt | llm
| output_parser` instead of LLMChain
- [x] RePhraseQueryRetriever (retriever): update to use `prompt | llm |
output_parser` instead of LLMChain
Fix typo
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, ccurme, vbarda, hwchase17.
Fix typo and some `callout` tags
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, ccurme, vbarda, hwchase17.
Update AI21 Integration docs
Issue: https://github.com/langchain-ai/langchain/issues/24856
---------
Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>
Co-authored-by: isaac hershenson <ihershenson@hmc.edu>
