Commit Graph

6164 Commits (700428593a86531ae0c891096c0d02aabcbc72af)
 

Author SHA1 Message Date
Bagatur 48fbc5513d
infra[patch], langchain[patch]: fix test deps and upper bound langchain dep on core(#13984) 9 months ago
Stefano Lottini 1fd724293b
Astra DB vector store, move constructor docstring to class docstring (#13784)
This PR rearranges the docstring for the `AstraDB` vector store class so
as to have all useful information in the _class_ docstring for ease of
reading.

(incidentally, due to an oversight, the docstring that was in the
constructor ended up buried below some lines of code, thereby
disappearing altogether from accessibility. Apologies.)
9 months ago
Johannes Foulds fc40bd4cdb
AnthropicFunctions function_call compatibility (#13901)
- **Description:** Updates to `AnthropicFunctions` to be compatible with
the OpenAI `function_call` functionality.
- **Issue:** The functionality to indicate `auto`, `none` and a forced
function_call was not completely implemented in the existing code.
  - **Dependencies:** None
- **Tag maintainer:** @baskaryan , and any of the other maintainers if
needed.
  - **Twitter handle:** None

I have specifically tested this functionality via AWS Bedrock with the
Claude-2 and Claude-Instant models.
9 months ago
Varun 14cc907d35
Update the stable docs link (#13798)
- **Description:** Point to the stable version of documentation, 
  - **Twitter handle:** varunzxzx
9 months ago
mengjincn 05ea4fd37d
fix merge None value and non None value error (#13703)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

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/extras`
directory.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->
9 months ago
Amélie d2cad53ec0
Fix broken link on Meilisearch vector-store documentation (#13604)
- **Description:** dead link replacement 
  - **Issue:** no open issue

**Note:**
Hi langchain team,
Sorry to open a PR for this concern but we realized that one of the
links present in the documentation booklet was broken 😄
9 months ago
Ali Orozgani 32d794f5a3
iMessage loader: implement message content extraction from attributed… (#13634)
- **Description:** We are adding functionality to extract message
content from the `attributedBody` field of the database, in case the
content is not in the `text` field.
  - **Issue:** Closes #13326 and #10680 
  - **Dependencies:** None.
  - **Tag maintainer:** @eyurtsev, @hwchase17

---------

Co-authored-by: onotate <johnp.pham@mail.utoronto.ca>
9 months ago
William FH e5256bcb69
[Evals] Add Project Tags (#13982)
Add them to project extra
9 months ago
Rihards Gravis 9e017ff6ba
docs[patch]: Reduce largest static image file size (#13508)
- **Description:** Reduce image asset file size used in documentation by
running them via lossless image optimization
([tinypng](https://www.npmjs.com/package/tinypng-cli) was used in this
case). Images wider than 1916px (the maximum width of an image displayed
in documentation) where downsized.
- **Issue:** No issue is created for this, but the large image file
assets caused slow documentation load times
  - **Dependencies:** No dependencies affected
9 months ago
Nuno Campos e0bcc98436
infra[patch]: Use langchain core in-tree as a dev dependency (#13957)
Using the published version means master is broken for contributors
whenever we make changes in one lib that depend on the other.
9 months ago
unifyh 2703a1b061
Fix `MarkdownHeaderTextSplitter` not recognizing tilde-fenced code blocks (#13511)
- **Description:** Previously `MarkdownHeaderTextSplitter` did not
consider tilde-fenced code blocks
(https://spec.commonmark.org/0.30/#fenced-code-blocks). This PR fixes
that.
   ````md
   # Bug caused by previous implementation:
   ~~~py
   foo()
   # This is a comment that would be considered header
   bar()
   ~~~
   ````
 - **Tag maintainer:** @baskaryan
9 months ago
Leonid Ganeline 7929b26017
office365 toolkit bug fixes (#13618)
Several bug fixes:
- emails: instead of `bcc` the `cc` is used.
- errors in the truncation descriptions
- no truncation of the `message_search`
Several updates:
- generalized UTC format 
- truncation limit can be changed now in _call()
9 months ago
William FH 60309341bd
Eval Error Key (#13974) 9 months ago
Erick Friis f9bef600f1
RELEASE: core 0.0.7 (#13973) 9 months ago
Nicolas Bondoux e17edc4d0b
RunnableLambda: create afunc instance from func when not provided (#13408)
Fixes #13407.

This workaround consists in letting the RunnableLambda create its
self.afunc from its self.func when self.afunc is not provided; the
change has no dependency.

<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

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/extras`
directory.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
9 months ago
Nuno Campos 391f200eaa
Implement stream() and astream() for agents (#12783)
```
---- chunk 1
{'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]}
---- chunk 2
{'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]}
---- chunk 3
{'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]}
---- chunk 4
{'messages': [FunctionMessage(content='25 years', name='Search')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]}
---- chunk 5
{'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]}
---- chunk 6
{'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')],
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]}
---- chunk 7
{'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")],
 'output': "Leonardo DiCaprio's current girlfriend is the Italian model "
           'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 '
           'power is approximately 3.99.'}
---- final
{'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]),
             AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]),
             AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})])],
 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}),
              FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'),
              AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}}),
              FunctionMessage(content='25 years', name='Search'),
              AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}}),
              FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'),
              AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")],
 'output': "Leonardo DiCaprio's current girlfriend is the Italian model "
           'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 '
           'power is approximately 3.99.',
 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"),
           AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n  "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'),
           AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n  "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]}
```
9 months ago
Michael Feil 686162670e
langchain[minor]: Adding `infinity` embedding integration. (#13928)
This adds integation to https://github.com/michaelfeil/infinity. Users
requested it in https://github.com/michaelfeil/infinity/issues/36
@saatvikshah

Follows my implementation of gradient.ai.

Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted
a lot in https://github.com/michaelfeil/infinity.
Feedback 2: Not so good: The openai integration contains to much reverse
engineering - in general projects such as michaelfeil/infinity and
huggingface/text-embeddings-inference are compatible to the `pip install
openai` package.

Reverse engineering like this one is really hindering the use for me:

8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L347)

8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L351)
- it is about preventing 3rd party providers to use the same url + uses
interfaces of openai, that are not publically documented.
9 months ago
Bagatur 10a6e7cbb6
langchain[patch], core[patch]: Make common utils public (#13932)
- rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream`
- rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream`
- export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`
9 months ago
Oleksandr Yaremchuk c0277d06e8
experimental[patch] Update prompt injection model (#13930)
- **Description:** Existing model used for Prompt Injection is quite
outdated but we fine-tuned and open-source a new model based on the same
model deberta-v3-base from Microsoft -
[laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection).
It supports more up-to-date injections and less prone to
false-positives.
  - **Dependencies:** No
  - **Tag maintainer:** -
  - **Twitter handle:** @alex_yaremchuk

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Bob Lin e6ebde9688
experimental[patch]: Add experimental.agent imports (#13839)
- **Description:** The experimental package needs to be compatible with
the usage of importing agents

For example, if i use `from langchain.agents import
create_pandas_dataframe_agent`, running the program will prompt the
following information:

```
Traceback (most recent call last):
   File "/Users/dongwm/test/main.py", line 1, in <module>
     from langchain.agents import create_pandas_dataframe_agent
   File "/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain/agents/__init__.py", line 87, in __getattr__
     raise ImportError(
ImportError: create_pandas_dataframe_agent has been moved to langchain experimental. See https://github.com/langchain-ai/langchain/discussions/11680 for more information.
Please update your import statement from: `langchain.agents.create_pandas_dataframe_agent` to `langchain_experimental.agents.create_pandas_dataframe_agent`.
```

But when I changed to `from langchain_experimental.agents import
create_pandas_dataframe_agent`, it was actually wrong:

```python
Traceback (most recent call last):
  File "/Users/dongwm/test/main.py", line 2, in <module>
    from langchain_experimental.agents import create_pandas_dataframe_agent
ImportError: cannot import name 'create_pandas_dataframe_agent' from 'langchain_experimental.agents' (/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain_experimental/agents/__init__.py)
```

I should use `from langchain_experimental.agents.agent_toolkits import
create_pandas_dataframe_agent`. In order to solve the problem and make
it compatible, I added additional import code to the
langchain_experimental package. Now it can be like this Used `from
langchain_experimental.agents import create_pandas_dataframe_agent`

  - **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617)
9 months ago
Tyler Titsworth afcfa2a5e7
langchain[patch]: Add progress bar option to OllamaEmbeddings (#13882)
- **Description:** Adds a tqdm progress bar to OllamaEmbeddings when
embedding a list.
- **Issue:** Related to #13637, but extended to Ollama.
- **Dependencies:** `tqdm` made a necessary dependency.

Thanks to @ugm2 for helping identify a common problem. Embeddings take a
very long time to finish on local machines, and require a progress bar
to help identify if one should even attempt the workload.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Kalyan ec53d983a1
TEMPLATES Add rag-opensearch template (#13501)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

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/extras`
directory.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->

Adding rag-opensearch template.

---------

Signed-off-by: kalyanr <kalyan.ben10@live.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
9 months ago
Leonid Ganeline e47b9c5285
DOCS: move `adapters` to integrations (#13862)
Current docs for adapters are in the `Guides/Adapters which is not a
good place.
- moved Adapters into `Integratons/Components/Adapters/
- simplified the OpenAI adapter notebook
- rerouted the old OpenAI adapter page URL to a new one.
9 months ago
jeremyb-data cd77fba562
Improvement: Weaviate multitenant adddocs (#13827)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
- **Description:** Added a line to pass the tenant parameter to
add_data_object
  - **Issue:** An extra line added from the fix for #9956
  - **Dependencies:** n/a
  - **Tag maintainer:** @baskaryan 

Tested locally, works as expected with the line change.

---------

Co-authored-by: Simon Dai <simon6752@gmail.com>
9 months ago
jiangying 3e30cd8261
NIT: comment typo (#13817) 9 months ago
Manuel Riezebosch 92b07ecaf3
DOCS: fix link to question answering (#13806)
first link in
[overview](https://python.langchain.com/docs/use_cases/question_answering/code_understanding#overview)
9 months ago
Assaf Toledo ba62ff89cc
BUGFIX: Support for elastic indices that don't return 'metadata' in '_source' (#13903)
Description: Some Elastic indexes do not return a 'metadata' field in
'_source'. However, prior to this PR, the code assumed there always is a
'metadata' field. This PR adds support for cases where the field is
missing by adding it manually.

Issue: #13869
9 months ago
Enric Soler Rastrollo c156d0281a
BUGFIX: Use embedding key in azure_cosmos_db index creation (#13919)
Description: Implement embedding key parametrisation
Issue: https://github.com/langchain-ai/langchain/issues/13918
Dependencies: None
Tag maintainer: @hwchase17 @izzymsft
Twitter handle:@MaddogoS
9 months ago
Bagatur ac67422a3d
IMPROVEMENT: import Document from core (#13905) 9 months ago
chyroc 886bc2d50a
IMPROVEMENT: fix qianfan validate_environment typo (#13908) 9 months ago
Chengzu Ou 4b8e053fe8
FEATURE: Add Databricks Vector Search as a new vector store (#13621)
**Description:**
This PR adds Databricks Vector Search as a new vector store in
LangChain.

- [x] Add `DatabricksVectorSearch` in `langchain/vectorstores/`
- [x] Unit tests
- [x] Add
[`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/)
as a new optional dependency

We ran the following checks:
- `make format` passed  
- `make lint` failed but the failures were caused by other files
    + Files touched by this PR passed the linter  
- `make test` passed  
- `make coverage` failed but the failures were caused by other files.
Tests added by or related to this PR all passed
+ langchain/vectorstores/databricks_vector_search.py test coverage 94% 
- `make spell_check` passed  

The example notebook and updates to the [provider's documentation
page](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/providers/databricks.md)
will be added later in a separate PR.

**Dependencies:**
Optional dependency:
[`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Leonid Kuligin 25387db432
BUFIX: add support for various OSS images from Vertex Model Garden (#13917)
- **Description:** add support for various OSS images from Model
Garden
  - **Issue:** #13370
9 months ago
Eugene Yurtsev e186637921
Document Runnable Binding (#13927)
Document runnable binding
9 months ago
Bagatur 46b3311190
RELEASE: 0.0.341 (#13926) 9 months ago
Nuno Campos f6b05cacd0
Update root poetry lock with core (#13922)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

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/extras`
directory.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->
9 months ago
umair mehmood b3e08f9239
improvement: fix chat prompt loading from config (#13818)
Add loader for loading chat prompt from config file.

fixed: #13667

@efriis 
@baskaryan
9 months ago
Nuno Campos 8a3e0c9afa
Add option to prefix config keys in configurable_alts (#13714) 9 months ago
Tomaz Bratanic 4ce5254442
Add Cypher template diagrams (#13913) 9 months ago
Taqi Jaffri bfc12a4a76
DOCS: Simplified Docugami cookbook to remove code now available in docugami library (#13828)
The cookbook had some code to upload files, and wait for the processing
to finish.

This code is now moved to the `docugami` library so removing from the
cookbook to simplify.

Thanks @rlancemartin for suggesting this when working on evals.

---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
9 months ago
ggeutzzang 3749af79ae
DOCS: fixed error in the docstring of RunnablePassthrough class (#13843)
This pull request addresses an issue found in the example code within
the docstring of `libs/core/langchain_core/runnables/passthrough.py`

The original code snippet caused a `NameError` due to the missing import
of `RunnableLambda`. The error was as follows:
```
     12     return "completion"
     13 
---> 14 chain = RunnableLambda(fake_llm) | {
     15     'original': RunnablePassthrough(), # Original LLM output
     16     'parsed': lambda text: text[::-1] # Parsing logic

NameError: name 'RunnableLambda' is not defined
```
To resolve this, I have modified the example code to include the
necessary import statement for `RunnableLambda`. Additionally, I have
adjusted the indentation in the code snippet to ensure consistency and
readability.

The modified code now successfully defines and utilizes
`RunnableLambda`, ensuring that users referencing the docstring will
have a functional and clear example to follow.

There are no related GitHub issues for this particular change.

Modified Code:
```python
from langchain_core.runnables import RunnablePassthrough, RunnableParallel
from langchain_core.runnables import RunnableLambda

runnable = RunnableParallel(
    origin=RunnablePassthrough(),
    modified=lambda x: x+1
)

runnable.invoke(1) # {'origin': 1, 'modified': 2}

def fake_llm(prompt: str) -> str: # Fake LLM for the example
    return "completion"

chain = RunnableLambda(fake_llm) | {
    'original': RunnablePassthrough(), # Original LLM output
    'parsed': lambda text: text[::-1] # Parsing logic
}

chain.invoke('hello') # {'original': 'completion', 'parsed': 'noitelpmoc'}
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Dylan Williams 1983a39894
FEATURE: Add OneNote document loader (#13841)
- **Description:** Added OneNote document loader
  - **Issue:** #12125
  - **Dependencies:** msal

Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Ikko Eltociear Ashimine ff7d4d9c0b
Update llamacpp.ipynb (#13840)
specifed -> specified
9 months ago
Tomaz Bratanic 1ad65f7a98
BUGFIX: Fix bugs with Cypher validation (#13849)
Fixes https://github.com/langchain-ai/langchain/issues/13803. Thanks to
@sakusaku-rich
9 months ago
Sᴜᴘᴇʀ Lᴇᴇ e42e95cc11
docs: fix link to `local_retrieval_qa` (#13872)
\The original link in [this
section](https://python.langchain.com/docs/use_cases/question_answering/#:~:text=locally%2Drunning%20models-,here,-.):

https://python.langchain.com/docs/modules/use_cases/question_answering/local_retrieval_qa

After fix:

https://python.langchain.com/docs/use_cases/question_answering/local_retrieval_qa
9 months ago
Harrison Chase 6a35831128
BUGFIX: export more types (#13886)
Co-authored-by: Bagatur <baskaryan@gmail.com>
9 months ago
Yusuf Khan 935f78c944
FEATURE: Add retriever for Outline (#13889)
- **Description:** Added a retriever for the Outline API to ask
questions on knowledge base
  - **Issue:** resolves #11814
  - **Dependencies:** None
  - **Tag maintainer:** @baskaryan
9 months ago
ggeutzzang f2af82058f
DOCS: Fix Sample Code for Compatibility with Pydantic 2.0 (#13890)
- **Description:** 
I encountered an issue while running the existing sample code on the
page https://python.langchain.com/docs/modules/agents/how_to/agent_iter
in an environment with Pydantic 2.0 installed. The following error was
triggered:

```python
ValidationError                           Traceback (most recent call last)
<ipython-input-12-2ffff2c87e76> in <cell line: 43>()
     41 
     42 tools = [
---> 43     Tool(
     44         name="GetPrime",
     45         func=get_prime,

2 frames
/usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py in __init__(__pydantic_self__, **data)
    339         values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data)
    340         if validation_error:
--> 341             raise validation_error
    342         try:
    343             object_setattr(__pydantic_self__, '__dict__', values)

ValidationError: 1 validation error for Tool
args_schema
  subclass of BaseModel expected (type=type_error.subclass; expected_class=BaseModel)
```

I have made modifications to the example code to ensure it functions
correctly in environments with Pydantic 2.0.
9 months ago
Harrison Chase 968ba6961f
add skeleton of thought (#13883) 9 months ago
Bagatur 0efa59cbb8
RELEASE: 0.0.339rc3 (#13852) 9 months ago
Bagatur 7222c42077
RELEASE: core 0.0.6 (#13853) 9 months ago