Commit Graph

9266 Commits (e6fa4547b1142c3352c624f352b975f6928f0c26)
 

Author SHA1 Message Date
Christophe Bornet e6fa4547b1
community[minor]: Add alazy_load to AsyncHtmlLoader (#21536)
Also fixes a bug that `_scrape` was called and was doing a second HTTP
request synchronously.

**Twitter handle:** cbornet_
4 months ago
Leonid Ganeline 4c48732f94
docs: `providers` updates 1 (#20256)
- Proviers pages: added missed integrations; fixed format
- `mistralai` converted from notebook to .mdx format
4 months ago
ccurme 15cb1133e7
docs: fix path for state_of_the_union sample file (#21609) 4 months ago
Bagatur 83a8fdcfd1
infra: fix local doc make command (#21608) 4 months ago
Eugene Yurtsev 4dc625057e
README: Update downloads to show downloads of langchain-core (#21387)
Update downloads to keep track of langchain-core
4 months ago
Wang Guan b53548dcda
langchain[minor]: allow CacheBackedEmbeddings to cache queries (#20073)
Add optional caching of queries to cache backed embeddings
4 months ago
Guangdong Liu a156aace2b
core[patch]:Fix Incorrect listeners parameters for Runnable.with_listeners() and .map() (#20661)
- **Issue:** fix #20509
-  @baskaryan, @eyurtsev


![image](https://github.com/langchain-ai/langchain/assets/48236177/f799a976-b983-4d8b-b373-64392e1fd6c6)
4 months ago
ccurme b0f5a47f25
docs: update some retrievers how-to guides (#21607) 4 months ago
junkeon 480c02bf55
upstage[minor]: add merge_and_split function for document loader (#21603)
- Introduce the `merge_and_split` function in the
`UpstageLayoutAnalysisLoader`.
- The `merge_and_split` function takes a list of documents and a
splitter as inputs.
- This function merges all documents and then divides them using the
`split_documents` method, which is a proprietary function of the
splitter.
- If the provided splitter is `None` (which is the default setting), the
function will simply merge the documents without splitting them.
4 months ago
Leonid Ganeline 500569da48
community[patch]: `vectorstores` import update (#21169)
Issue: we have several helper functions to import third-party libraries
like lancedb.import_lancedb in
[community.vectorstores](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.lancedb.import_lancedb.html#langchain_community.vectorstores.lancedb.import_lancedb).
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
4 months ago
ccurme 3003363605
langchain, community: remove cap on sqlalchemy and bump duckdb (#21509) 4 months ago
ccurme 01a3228d8e
standard tests: add test for few-shot examples (#21019) 4 months ago
David Duong db22fcb58b
docs: style fixes for api reference docs (#21602)
- Make sure the left nav bar is horizontally scrollable 
- Make sure the navigation dropdown is vertically scrollable and height
capped at 80% of viewport height

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Chuyuan Qu af875cff57
prompty: adding Microsoft langchain_prompty package (#21346)
Co-authored-by: Micky Liu <wayliu@microsoft.com>
Co-authored-by: wayliums <wayliums@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Erick Friis 56c6b5868b
infra: run codespell on v0.1 prs (#21545) 4 months ago
Matt Florence d3ca2cc8c3
langchain: Fix broken `OpenAIModerationChain` and implement async (#18537)
Thank you for contributing to LangChain!

## PR title
lancghain[patch]: fix `OpenAIModerationChain` and implement async

## PR message
Description: fix `OpenAIModerationChain` and implement async

Issues: 
- https://github.com/langchain-ai/langchain/issues/18533 
- https://github.com/langchain-ai/langchain/issues/13685

Dependencies: none
Twitter handle: mattflo


## Add tests and docs
 
Existing documentation is broken:
https://python.langchain.com/docs/guides/safety/moderation


- [ 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: Emilia Katari <emilia@outpace.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
4 months ago
ccurme 4170e72a42
openai: fix loads unit test (#21542)
following changes to tests in core here:
https://github.com/langchain-ai/langchain/pull/21342/files
4 months ago
ccurme d3ff9c5d6a
infra: turn off fail-fast for standard tests (#21541) 4 months ago
Erick Friis e8efe8384d
docs: announcement bar dark mode 0.2 (#21540) 4 months ago
Erick Friis 64c47224a0
docs: baseUrl for ganalytics, throw on broken links (#21455) 5 months ago
Usama Jamil 913792f5e6
docs: myscale code typo (#21522)
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.
5 months ago
Sevin F. Varoglu 85cbc55f86
docs: update OctoAI LLM doc (#21528)
This PR updates OctoAI doc to remove warnings when running the example
code.
5 months ago
Daniel Glogowski 70a79f45d7
docs: update nvidia nbs (#21498) 5 months ago
Eugene Yurtsev 39e9b644b9
docs: Add langchain over time (#21434)
Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
Erick Friis 3db85cbb5b
community: deps (#21508) 5 months ago
ccurme 9c2828aaa8
docs: add local LLMs page to v0.2 docs (#21493)
Adding this page from v0.1 docs:
https://python.langchain.com/v0.1/docs/guides/development/local_llms/
5 months ago
Erick Friis 8580e350be
cli: release 0.0.22 (#21507) 5 months ago
Anthony Chu c735849e76
azure-dynamic-sessions: add Python REPL tool (#21264)
Adds a Python REPL that executes code in a code interpreter session
using Azure Container Apps dynamic sessions.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
Erick Friis 02701c277f
langchain: core min version (#21506) 5 months ago
ccurme 81ae184cc9
docs: add response metadata page to v0.2 docs (#21489)
Adding this page from v0.1 docs:
https://python.langchain.com/v0.1/docs/modules/model_io/chat/response_metadata/
5 months ago
Erick Friis 13b01104c9
langchain: drop sqlalchemy max, release 0.2.0rc2 (#21504) 5 months ago
ccurme 375f447e58
community: fix builds with min dependencies (#21495) 5 months ago
Erick Friis 2be4b1b2c9
Revert "docs: redirect base slug" (#21499)
Reverts langchain-ai/langchain#21457
5 months ago
Erick Friis d1fc841b1a
docs: redirect base slug (#21457) 5 months ago
Trayan Azarov ba7d53689c
community: Chroma Adding create_collection_if_not_exists flag to Chroma constructor (#21420)
- **Description:** Adds the ability to either `get_or_create` or simply
`get_collection`. This is useful when dealing with read-only Chroma
instances where users are constraint to using `get_collection`. Targeted
at Http/CloudClients mostly.
- **Issue:** chroma-core/chroma#2163
- **Dependencies:** N/A
- **Twitter handle:** `@t_azarov`




| Collection Exists | create_collection_if_not_exists | Outcome | test |

|-------------------|---------------------------------|----------------------------------------------------------------|----------------------------------------------------------|
| True | False | No errors, collection state unchanged |
`test_create_collection_if_not_exist_false_existing` |
| True | True | No errors, collection state unchanged |
`test_create_collection_if_not_exist_true_existing` |
| False | False | Error, `get_collection()` fails |
`test_create_collection_if_not_exist_false_non_existing` |
| False | True | No errors, `get_or_create_collection()` creates the
collection | `test_create_collection_if_not_exist_true_non_existing` |
5 months ago
ccurme 3bb9bec314
bedrock: add unit test for retriever (#21485)
This was implemented in
https://github.com/langchain-ai/langchain/pull/21349 but dropped before
merge.
5 months ago
Renu Rozera 4035a1d234
Add source metadata to bedrock retriever response (#21349)
Thank you for contributing to LangChain!

- [X] **PR title**: "community: Add source metadata to bedrock retriever
response"

- [X] **PR message**: 
- **Description:** Bedrock retrieve API returns extra metadata in the
response which is currently not returned in the retriever response
- **Issue:** The change adds the metadata from bedrock retrieve API
response to the bedrock retriever in a backward compatible way. Renamed
metadata to sourceMetadata as metadata term is being used in the
Document already. This is in sync with what we are doing in llama-index
as well.
    - **Dependencies:** No


- [X] **Add tests and docs**:
  1. Added unit tests
  2. Notebook already exists and does not need any change
3. Response from end to end testing, just to ensure backward
compatibility: `[Document(page_content='Exoplanets.',
metadata={'location': {'s3Location': {'uri':
's3://bucket/file_name.txt'}, 'type': 'S3'}, 'score': 0.46886647,
'source_metadata': {'x-amz-bedrock-kb-source-uri':
's3://bucket/file_name.txt', 'tag': 'space', 'team': 'Nasa', 'year':
1946.0}})]`


- [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, hwchase17.

---------

Co-authored-by: Piyush Jain <piyushjain@duck.com>
5 months ago
ccurme 9fa17bfabe
docs; fix links in v0.2.0 (#21483) 5 months ago
Erick Friis f178c67ad0
community: release 0.2.0rc1, bump deps (#21470) 5 months ago
William FH b28be5d407
Pass through Run ID Explicitly (#21469) 5 months ago
Erick Friis 83eecd54fe
experimental: 0.2 relax (#21468) 5 months ago
roiperlman 9992beaff9
community: Add arguments to whisper parser (#20378)
**Description:** Added a few additional arguments to the whisper parser,
which can be consumed by the underlying API.
The prompt is especially important to fine-tune transcriptions.

---------

Co-authored-by: Roi Perlman <roi@fivesigmalabs.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Erick Friis 5542eacad8
docs: sidebar autogen hidden support (#21454) 5 months ago
Yash cb31c3611f
Ndb enterprise (#21233)
Description: Adds NeuralDBClientVectorStore to the langchain, which is
our enterprise client.

---------

Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com>
Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>
5 months ago
Erick Friis 74044e44a5
docs: useBaseUrl on svg paths (#21446) 5 months ago
Oguz Vuruskaner 5b35f077f9
[community][fix](DeepInfraEmbeddings): Implement chunking for large batches (#21189)
**Description:**
This PR introduces chunking logic to the `DeepInfraEmbeddings` class to
handle large batch sizes without exceeding maximum batch size of the
backend. This enhancement ensures that embedding generation processes
large batches by breaking them down into smaller, manageable chunks,
each conforming to the maximum batch size limit.

**Issue:**
Fixes #21189

**Dependencies:**
No new dependencies introduced.
5 months ago
Sokolov Fedor f4ddf64faa
community: Add MarkdownifyTransformer to langchain_community.document_transformers (#21247)
- Added new document_transformer: MarkdonifyTransformer, that uses
`markdonify` package with customizable options to convert HTML to
Markdown. It's similar to Html2TextTransformer, but has more flexible
options and also I've noticed that sometimes MarkdownifyTransformer
performs better than html2text one, so that's why I use markdownify on
my project.
- Added docs and tests

- Usage:
```python
from langchain_community.document_transformers import MarkdownifyTransformer

markdownify = MarkdownifyTransformer()
docs_transform = markdownify.transform_documents(docs)
```

- Example of better performance on simple task, that I've noticed:
```
<html>
<head><title>Reports on product movement</title></head>
<body>
<p data-block-key="2wst7">The reports on product movement will be useful for forming supplier orders and controlling outcomes.</p>
</body>
```
**Html2TextTransformer**: 
```python
[Document(page_content='The reports on product movement will be useful for forming supplier orders and\ncontrolling outcomes.\n\n')]
# Here we can see 'and\ncontrolling', which has extra '\n' in it
```
**MarkdownifyTranformer**:
```python
[Document(page_content='Reports on product movement\n\nThe reports on product movement will be useful for forming supplier orders and controlling outcomes.')]
```

---------

Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.bbrouter>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.local>
Co-authored-by: Sokolov Fedor <f.sokolov@192.168.1.6>
5 months ago
Alex JW d3ce6aad2e
community: Instantiate GPT4AllEmbeddings with parameters (#21238)
### GPT4AllEmbeddings parameters
---

**Description:** 
As of right now the **Embed4All** class inside _GPT4AllEmbeddings_ is
instantiated as it's default which leaves no room to customize the
chosen model and it's behavior. Thus:

- GPT4AllEmbeddings can now be instantiated with custom parameters like
a different model that shall be used.

---------

Co-authored-by: AlexJauchWalser <alexander.jauch-walser@knime.com>
5 months ago
Philippe PRADOS 7be68228da
community[patch]: Make sql record manager fully compatible with async (#20735)
The `_amake_session()` method does not allow modifying the
`self.session_factory` with
anything other than `async_sessionmaker`. This prohibits advanced uses
of `index()`.

In a RAG architecture, it is necessary to import document chunks.
To keep track of the links between chunks and documents, we can use the
`index()` API.
This API proposes to use an SQL-type record manager.

In a classic use case, using `SQLRecordManager` and a vector database,
it is impossible
to guarantee the consistency of the import. Indeed, if a crash occurs
during the import
(problem with the network, ...)
there is an inconsistency between the SQL database and the vector
database.

With the
[PR](https://github.com/langchain-ai/langchain-postgres/pull/32) we are
proposing for `langchain-postgres`,
it is now possible to guarantee the consistency of the import of chunks
into
a vector database.  It's possible only if the outer session is built
with the connection.

```python
def main():
    db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/"
    engine = create_engine(db_url, echo=True)
    embeddings = FakeEmbeddings()
    pgvector:VectorStore = PGVector(
        embeddings=embeddings,
        connection=engine,
    )

    record_manager = SQLRecordManager(
        namespace="namespace",
        engine=engine,
    )
    record_manager.create_schema()

    with engine.connect() as connection:
        session_maker = scoped_session(sessionmaker(bind=connection))
        # NOTE: Update session_factories
        record_manager.session_factory = session_maker
        pgvector.session_maker = session_maker
        with connection.begin():
            loader = CSVLoader(
                    "data/faq/faq.csv",
                    source_column="source",
                    autodetect_encoding=True,
                )
            result = index(
                source_id_key="source",
                docs_source=loader.load()[:1],
                cleanup="incremental",
                vector_store=pgvector,
                record_manager=record_manager,
            )
            print(result)
```
The same thing is possible asynchronously, but a bug in
`sql_record_manager.py`
in `_amake_session()` must first be fixed.

```python
    async def _amake_session(self) -> AsyncGenerator[AsyncSession, None]:
        """Create a session and close it after use."""

        # FIXME: REMOVE if not isinstance(self.session_factory, async_sessionmaker):~~
        if not isinstance(self.engine, AsyncEngine):
            raise AssertionError("This method is not supported for sync engines.")

        async with self.session_factory() as session:
            yield session
``` 

Then, it is possible to do the same thing asynchronously:

```python
async def main():
    db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/"
    engine = create_async_engine(db_url, echo=True)
    embeddings = FakeEmbeddings()
    pgvector:VectorStore = PGVector(
        embeddings=embeddings,
        connection=engine,
    )
    record_manager = SQLRecordManager(
        namespace="namespace",
        engine=engine,
        async_mode=True,
    )
    await record_manager.acreate_schema()

    async with engine.connect() as connection:
        session_maker = async_scoped_session(
            async_sessionmaker(bind=connection),
            scopefunc=current_task)
        record_manager.session_factory = session_maker
        pgvector.session_maker = session_maker
        async with connection.begin():
            loader = CSVLoader(
                "data/faq/faq.csv",
                source_column="source",
                autodetect_encoding=True,
            )
            result = await aindex(
                source_id_key="source",
                docs_source=loader.load()[:1],
                cleanup="incremental",
                vector_store=pgvector,
                record_manager=record_manager,
            )
            print(result)


asyncio.run(main())
```

---------

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Sean <sean@upstage.ai>
Co-authored-by: JuHyung-Son <sonju0427@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: YISH <mokeyish@hotmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Jason_Chen <820542443@qq.com>
Co-authored-by: Joan Fontanals <joan.fontanals.martinez@jina.ai>
Co-authored-by: Pavlo Paliychuk <pavlo.paliychuk.ca@gmail.com>
Co-authored-by: fzowl <160063452+fzowl@users.noreply.github.com>
Co-authored-by: samanhappy <samanhappy@gmail.com>
Co-authored-by: Lei Zhang <zhanglei@apache.org>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: merdan <48309329+merdan-9@users.noreply.github.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Andres Algaba <andresalgaba@gmail.com>
Co-authored-by: davidefantiniIntel <115252273+davidefantiniIntel@users.noreply.github.com>
Co-authored-by: Jingpan Xiong <71321890+klaus-xiong@users.noreply.github.com>
Co-authored-by: kaka <kaka@zbyte-inc.cloud>
Co-authored-by: jingsi <jingsi@leadincloud.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com>
Co-authored-by: Michael Schock <mjschock@users.noreply.github.com>
Co-authored-by: Anish Chakraborty <anish749@users.noreply.github.com>
Co-authored-by: am-kinetica <85610855+am-kinetica@users.noreply.github.com>
Co-authored-by: Dristy Srivastava <58721149+dristysrivastava@users.noreply.github.com>
Co-authored-by: Matt <matthew.gotteiner@microsoft.com>
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
5 months ago
Andreas Motl 17e42bbd18
community[patch]: pgvector: Slight refactoring to make code a bit more reusable (#16243)
- **Description:** Improve [pgvector vector store
adapter](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py)
to make it reusable by adapters deriving from that.
  - **Issue:** NA
  - **Dependencies:** NA
  - **References:** https://github.com/crate-workbench/langchain/pull/1
  - **Addressed to:** @eyurtsev, @cbornet


Hi from the CrateDB team,

first of all, thanks a stack for conceiving and maintaining LangChain.
We are currently [preparing a
patch](https://github.com/crate-workbench/langchain/pull/1) for adding
[CrateDB](https://github.com/crate/crate) to the list of community
adapters.

Because CrateDB aims to be compatible with PostgreSQL to some degree,
the vector store subsystem in LangChain derives functionality from the
corresponding implementation for pgvector.

Therefore, in order to make the implementation more reusable, we needed
to rename the private methods `__from` and `__query_collection` to the
less private counterparts `_from` and `_query_collection`, so they can
be overwritten, in order to unlock other adapters deriving from
[pgvector](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py).

With kind regards,
Andreas.
5 months ago