Commit Graph

232 Commits (f1313339ac6f45bcf0afcf572d372c7e3660c0af)

Author SHA1 Message Date
Bagatur 3fa711dce0
experimental[patch]: Release 0.0.55 (#19353) 6 months ago
Zihong ff31cc1648
experimental: update the notebook link of semantic chunk. (#19253)
update the notebook link of semantic chunk.
6 months ago
Cycle 77868b1974
experimental: add buffer_size hyperparameter to SemanticChunker as in source video (#19208)
add buffer_size hyperparameter which used in combine_sentences function
6 months ago
Erick Friis 781aee0068
community, langchain, infra: revert store extended test deps outside of poetry (#19153)
Reverts langchain-ai/langchain#18995

Because it makes installing dependencies in python 3.11 extended testing
take 80 minutes
6 months ago
Erick Friis 9e569d85a4
community, langchain, infra: store extended test deps outside of poetry (#18995)
poetry can't reliably handle resolving the number of optional "extended
test" dependencies we have. If we instead just rely on pip to install
extended test deps in CI, this isn't an issue.
6 months ago
Erick Friis 2ffb2144a6
experimental[patch]: release 0.0.54 (#19000) 6 months ago
Tomaz Bratanic cda43c5a11
experimental[patch]: Fix LLM graph transformer default prompt (#18856)
Some LLMs do not allow multiple user messages in sequence.
6 months ago
Tomaz Bratanic 246724faab
LLM graph transformer prompt engineering (#18843)
A bit of prompt engineering to improve results
6 months ago
Alexander Dicke 66576948e0
experimental[minor]: adds mixtral wrapper (#17423)
**Description:** Adds a chat wrapper for Mixtral models using the
[prompt
template](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1#instruction-format).

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Tomaz Bratanic c8c592d3f1
experimental[minor]: Add LLM graph transformer (#18733)
Add a class that constructs knowledge graphs based on text using an LLM.
6 months ago
Tomaz Bratanic 010a234f1e
docs: Fix diffbot graph transformer description (#18736)
The previous docstring was invalid
6 months ago
Massimiliano Pronesti 3b975c6ebe
experimental[minor]: add support for modin in pandas agent (#18749)
Added support for Intel's
[modin](https://github.com/modin-project/modin) in
`create_pandas_dataframe_agent`.
6 months ago
Erick Friis 4ac2cb4adc
anthropic[minor]: add tool calling (#18554) 6 months ago
Bagatur 5efb5c099f
text-splitters[minor], langchain[minor], community[patch], templates, docs: langchain-text-splitters 0.0.1 (#18346) 7 months ago
Bagatur 68ad3414a2
experimental[patch]: Release 0.0.53 (#18330) 7 months ago
matt haigh a4896da2a0
Experimental: Add other threshold types to SemanticChunker (#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.


![image](https://github.com/langchain-ai/langchain/assets/44395485/066e84a8-460e-4da5-9fa1-4ff79a1941c5)

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>
7 months ago
Leonid Ganeline 3f6bf852ea
experimental: docstrings update (#18048)
Added missed docstrings. Formatted docsctrings to the consistent format.
7 months ago
Erick Friis ed789be8f4
docs, templates: update schema imports to core (#17885)
- chat models, messages
- documents
- agentaction/finish
- baseretriever,document
- stroutputparser
- more messages
- basemessage
- format_document
- baseoutputparser

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Bagatur 5ed16adbde
experimental[patch]: Release 0.0.52 (#17763) 7 months ago
Pranav Agarwal 86ae48b781
experimental[minor]: Amazon Personalize support (#17436)
## Amazon Personalize support on Langchain

This PR is a successor to this PR -
https://github.com/langchain-ai/langchain/pull/13216

This PR introduces an integration with [Amazon
Personalize](https://aws.amazon.com/personalize/) to help you to
retrieve recommendations and use them in your natural language
applications. This integration provides two new components:

1. An `AmazonPersonalize` client, that provides a wrapper around the
Amazon Personalize API.
2. An `AmazonPersonalizeChain`, that provides a chain to pull in
recommendations using the client, and then generating the response in
natural language.

We have added this to langchain_experimental since there was feedback
from the previous PR about having this support in experimental rather
than the core or community extensions.

Here is some sample code to explain the usage.

```python

from langchain_experimental.recommenders import AmazonPersonalize
from langchain_experimental.recommenders import AmazonPersonalizeChain
from langchain.llms.bedrock import Bedrock

recommender_arn = "<insert_arn>"

client=AmazonPersonalize(
    credentials_profile_name="default",
    region_name="us-west-2",
    recommender_arn=recommender_arn
)
bedrock_llm = Bedrock(
    model_id="anthropic.claude-v2", 
    region_name="us-west-2"
)

chain = AmazonPersonalizeChain.from_llm(
    llm=bedrock_llm, 
    client=client
)
response = chain({'user_id': '1'})
```


Reviewer: @3coins
7 months ago
William FH 64743dea14
core[patch], community[patch], langchain[patch], experimental[patch], robocorp[patch]: bump LangSmith 0.1.* (#17567) 7 months ago
Mattt394 7c6009b76f
experimental[patch]: Fixed typos in SmartLLMChain ideation and critique prompts (#11507)
Noticed and fixed a few typos in the SmartLLMChain default ideation and
critique prompts

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
DanisJiang de9a6cdf16
experimental[patch]: Enhance protection against arbitrary code execution in PALChain (#17091)
- **Description:** Block some ways to trigger arbitrary code execution
bug in PALChain.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
7 months ago
Bagatur b5d3416563
experimental[patch]: Release 0.0.51 (#17484) 7 months ago
Bagatur c0ce93236a
experimental[patch]: fix zero-shot pandas agent (#17442) 7 months ago
Theo / Taeyoon Kang 1987f905ed
core[patch]: Support .yml extension for YAML (#16783)
- **Description:**

[AS-IS] When dealing with a yaml file, the extension must be .yaml.  

[TO-BE] In the absence of extension length constraints in the OS, the
extension of the YAML file is yaml, but control over the yml extension
must still be made.

It's as if it's an error because it's a .jpg extension in jpeg support.

  - **Issue:** - 

  - **Dependencies:**
no dependencies required for this change,
7 months ago
Erick Friis 3a2eb6e12b
infra: add print rule to ruff (#16221)
Added noqa for existing prints. Can slowly remove / will prevent more
being intro'd
7 months ago
Charlie Marsh 24c0bab57b
infra, multiple: Upgrade configuration for Ruff v0.2.0 (#16905)
## Summary

This PR upgrades LangChain's Ruff configuration in preparation for
Ruff's v0.2.0 release. (The changes are compatible with Ruff v0.1.5,
which LangChain uses today.) Specifically, we're now warning when
linter-only options are specified under `[tool.ruff]` instead of
`[tool.ruff.lint]`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Eugene Yurtsev 780e84ae79
community[minor]: SQLDatabase Add fetch mode `cursor`, query parameters, query by selectable, expose execution options, and documentation (#17191)
- **Description:** Improve `SQLDatabase` adapter component to promote
code re-use, see
[suggestion](https://github.com/langchain-ai/langchain/pull/16246#pullrequestreview-1846590962).
  - **Needed by:** GH-16246
  - **Addressed to:** @baskaryan, @cbornet 

## Details
- Add `cursor` fetch mode
- Accept SQL query parameters
- Accept both `str` and SQLAlchemy selectables as query expression
- Expose `execution_options`
- Documentation page (notebook) about `SQLDatabase` [^1]
See [About
SQLDatabase](https://github.com/langchain-ai/langchain/blob/c1c7b763/docs/docs/integrations/tools/sql_database.ipynb).

[^1]: Apparently there hasn't been any yet?

---------

Co-authored-by: Andreas Motl <andreas.motl@crate.io>
7 months ago
Erick Friis 22b6a03a28
infra: read min versions (#17135) 7 months ago
Leonid Ganeline 563f325034
experimental[patch]: fixed import in `experimental` (#17078) 7 months ago
Giulio Zani 9f0b63dba0
experimental[patch]: Fixes issue #17060 (#17062)
As described in issue #17060, in the case in which text has only one
sentence the following function fails. Checking for that and adding a
return case fixed the issue.

```python
    def split_text(self, text: str) -> List[str]:
        """Split text into multiple components."""
        # Splitting the essay on '.', '?', and '!'
        single_sentences_list = re.split(r"(?<=[.?!])\s+", text)
        sentences = [
            {"sentence": x, "index": i} for i, x in enumerate(single_sentences_list)
        ]
        sentences = combine_sentences(sentences)
        embeddings = self.embeddings.embed_documents(
            [x["combined_sentence"] for x in sentences]
        )
        for i, sentence in enumerate(sentences):
            sentence["combined_sentence_embedding"] = embeddings[i]
        distances, sentences = calculate_cosine_distances(sentences)
        start_index = 0

        # Create a list to hold the grouped sentences
        chunks = []
        breakpoint_percentile_threshold = 95
        breakpoint_distance_threshold = np.percentile(
            distances, breakpoint_percentile_threshold
        )  # If you want more chunks, lower the percentile cutoff

        indices_above_thresh = [
            i for i, x in enumerate(distances) if x > breakpoint_distance_threshold
        ]  # The indices of those breakpoints on your list

        # Iterate through the breakpoints to slice the sentences
        for index in indices_above_thresh:
            # The end index is the current breakpoint
            end_index = index

            # Slice the sentence_dicts from the current start index to the end index
            group = sentences[start_index : end_index + 1]
            combined_text = " ".join([d["sentence"] for d in group])
            chunks.append(combined_text)

            # Update the start index for the next group
            start_index = index + 1

        # The last group, if any sentences remain
        if start_index < len(sentences):
            combined_text = " ".join([d["sentence"] for d in sentences[start_index:]])
            chunks.append(combined_text)
        return chunks
```

Co-authored-by: Giulio Zani <salamanderxing@Giulios-MBP.homenet.telecomitalia.it>
7 months ago
Bagatur 7d03d8f586
docs: fix docstring examples (#16889) 7 months ago
Bagatur c2d09fb151
infra: bump exp min test reqs (#16884) 7 months ago
Bagatur 65ba5c220b
experimental[patch]: Release 0.0.50 (#16883) 7 months ago
Bagatur b0347f3e2b
docs: add csv use case (#16756) 8 months ago
Massimiliano Pronesti 1bc8d9a943
experimental[patch]: missing resolution strategy in anonymization (#16653)
- **Description:** Presidio-based anonymizers are not working because
`_remove_conflicts_and_get_text_manipulation_data` was being called
without a conflict resolution strategy. This PR fixes this issue. In
addition, it removes some mutable default arguments (antipattern).
 
To reproduce the issue, just run the very first cell of this
[notebook](https://python.langchain.com/docs/guides/privacy/2/) from
langchain's documentation.

<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.

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,
- **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` from the root
of the package you've modified to check this locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc: https://python.langchain.com/docs/contributing/

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.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->
8 months ago
Bagatur bccb07f93e
core[patch]: simple prompt pretty printing (#15968) 8 months ago
Bagatur 79124fd71d
experimental[patch]: Release 0.0.49 (#15823) 8 months ago
Harrison Chase 20abe24819
experimental[minor]: Add semantic chunker (#15799) 8 months ago
Bagatur da395f3182
experimental[patch]: loosen core max version (#15763) 8 months ago
Erick Friis 95a2c92e26
experimental[patch]: minimum version bump (#15724)
- experimental: minimum version bump
- actually 0.1.5
- actually 0.1.7
8 months ago
Erick Friis 6c9b7c2cec
experimental: minimum version bump (#15722)
experimental relies on `from langchain_core.runnables.config import
run_in_executor` which was introduced in core 0.1.5.

Updated pyproject dependency as well as minimum version test.
8 months ago
Bagatur 14c5c15958
experimental[patch]: Release 0.0.48 (#15483) 8 months ago
Bagatur 54b58c03db
infra: add minimum deps pre release check (#15485) 8 months ago
Bagatur baeac236b6
langchain[patch], experimental[patch]: update utilities imports (#15438) 8 months ago
Bagatur 1678d6ca17
langchain[patch], experimental[patch], docs: update tools imports (#15433) 8 months ago
Bagatur fa5d49f2c1
docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429)
ran 
```bash
g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g"
g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g"
g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g"
g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g"
g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g"
g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g"
gco master libs/langchain/tests/unit_tests/*/test_imports.py
gco master libs/langchain/tests/unit_tests/**/test_public_api.py
```
8 months ago
Bagatur 480626dc99
docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)
…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```
8 months ago
Bagatur 8e0d5813c2
langchain[patch], experimental[patch]: replace langchain.schema imports (#15410)
Import from core instead.

Ran:
```bash
git grep -l 'from langchain.schema\.output_parser' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.output_parser/from\ langchain_core.output_parsers/g"
git grep -l 'from langchain.schema\.messages' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.messages/from\ langchain_core.messages/g"
git grep -l 'from langchain.schema\.document' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.document/from\ langchain_core.documents/g"
git grep -l 'from langchain.schema\.runnable' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.runnable/from\ langchain_core.runnables/g"
git grep -l 'from langchain.schema\.vectorstore' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.vectorstore/from\ langchain_core.vectorstores/g"
git grep -l 'from langchain.schema\.language_model' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.language_model/from\ langchain_core.language_models/g"
git grep -l 'from langchain.schema\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.embeddings/from\ langchain_core.embeddings/g"
git grep -l 'from langchain.schema\.storage' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.storage/from\ langchain_core.stores/g"
git checkout master libs/langchain/tests/unit_tests/schema/
make format
cd libs/experimental
make format
cd ../langchain
make format
```
8 months ago