Commit Graph

266 Commits (c69f599594ba16b83d088ed33e7615ce27c872f0)

Author SHA1 Message Date
Noah Stapp e135e5257c
community[patch]: Include scores in MongoDB Atlas QA chain results (#14666)
Adds the ability to return similarity scores when using
`RetrievalQA.from_chain_type` with `MongoDBAtlasVectorSearch`. Requires
that `return_source_documents=True` is set.

Example use:

```
vector_search = MongoDBAtlasVectorSearch.from_documents(...)

qa = RetrievalQA.from_chain_type(
	llm=OpenAI(), 
	chain_type="stuff", 
	retriever=vector_search.as_retriever(search_kwargs={"additional": ["similarity_score"]}),
	return_source_documents=True
)

...

docs = qa({"query": "..."})

docs["source_documents"][0].metadata["score"] # score will be here
```

I've tested this feature locally, using a MongoDB Atlas Cluster with a
vector search index.
8 months ago
Serena Ruan 90f5a1c40e
community[minor]: Improve mlflow callback (#15691)
- **Description:** Allow passing run_id to MLflowCallbackHandler to
resume a run instead of creating a new run. Support recording retriever
relevant metrics. Refactor the code to fix some bugs.
---------

Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
8 months ago
Facundo Santiago 92e6a641fd
feat: adding paygo api support for Azure ML / Azure AI Studio (#14560)
- **Description:** Introducing support for LLMs and Chat models running
in Azure AI studio and Azure ML using the new deployment mode
pay-as-you-go (model as a service).
- **Issue:** NA
- **Dependencies:** None.
- **Tag maintainer:** @prakharg-msft @gdyre 
- **Twitter handle:** @santiagofacundo

Examples added:
*
[docs/docs/integrations/llms/azure_ml.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_endpoint.ipynb)
*
[docs/docs/integrations/chat/azureml_chat_endpoint.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_chat_endpoint.ipynb)

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Davide Menini 9ce177580a
community: normalize bedrock embeddings (#15103)
In this PR I added a post-processing function to normalize the
embeddings. This happens only if the new `normalize` flag is `True`.

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
8 months ago
baichuan-assistant 20fcd49348
community: Fix Baichuan Chat. (#15207)
- **Description:** Baichuan Chat (with both Baichuan-Turbo and
Baichuan-Turbo-192K models) has updated their APIs. There are breaking
changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API
but is still required in Langchain. Baichuan's Langchain integration
needs to be updated to the latest version.
  - **Issue:** #15206
  - **Dependencies:** None,
  - **Twitter handle:** None

@hwchase17.

Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>
8 months ago
gcheron cfc225ecb3
community: SQLStrStore/SQLDocStore provide an easy SQL alternative to `InMemoryStore` to persist data remotely in a SQL storage (#15909)
**Description:**

- Implement `SQLStrStore` and `SQLDocStore` classes that inherits from
`BaseStore` to allow to persist data remotely on a SQL server.
- SQL is widely used and sometimes we do not want to install a caching
solution like Redis.
- Multiple issues/comments complain that there is no easy remote and
persistent solution that are not in memory (users want to replace
InMemoryStore), e.g.,
https://github.com/langchain-ai/langchain/issues/14267,
https://github.com/langchain-ai/langchain/issues/15633,
https://github.com/langchain-ai/langchain/issues/14643,
https://stackoverflow.com/questions/77385587/persist-parentdocumentretriever-of-langchain
- This is particularly painful when wanting to use
`ParentDocumentRetriever `
- This implementation is particularly useful when:
     * it's expensive to construct an InMemoryDocstore/dict
     * you want to retrieve documents from remote sources
     * you just want to reuse existing objects
- This implementation integrates well with PGVector, indeed, when using
PGVector, you already have a SQL instance running. `SQLDocStore` is a
convenient way of using this instance to store documents associated to
vectors. An integration example with ParentDocumentRetriever and
PGVector is provided in docs/docs/integrations/stores/sql.ipynb or
[here](https://github.com/gcheron/langchain/blob/sql-store/docs/docs/integrations/stores/sql.ipynb).
- It persists `str` and `Document` objects but can be easily extended.

 **Issue:**

Provide an easy SQL alternative to `InMemoryStore`.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Massimiliano Pronesti e529939c54
feat(llms): support more tasks in HuggingFaceHub LLM and remove deprecated dep (#14406)
- **Description:** this PR upgrades the `HuggingFaceHub` LLM:
   * support more tasks (`translation` and `conversational`)
   * replaced the deprecated `InferenceApi` with `InferenceClient`
* adjusted the overall logic to use the "recommended" model for each
task when no model is provided, and vice-versa.
- **Tag mainter(s)**: @baskaryan @hwchase17
8 months ago
Bagatur 54149292f8
community[patch]: Release 0.0.15 (#16474) 8 months ago
Tomaz Bratanic d0a8082188
Fix neo4j sanitize (#16439)
Fix the sanitization bug and add an integration test
8 months ago
Florian MOREL 4b7969efc5
community[minor]: New documents loader for visio files (with extension .vsdx) (#16171)
**Description** : New documents loader for visio files (with extension
.vsdx)

A [visio file](https://fr.wikipedia.org/wiki/Microsoft_Visio) (with
extension .vsdx) is associated with Microsoft Visio, a diagram creation
software. It stores information about the structure, layout, and
graphical elements of a diagram. This format facilitates the creation
and sharing of visualizations in areas such as business, engineering,
and computer science.

A Visio file can contain multiple pages. Some of them may serve as the
background for others, and this can occur across multiple layers. This
loader extracts the textual content from each page and its associated
pages, enabling the extraction of all visible text from each page,
similar to what an OCR algorithm would do.

**Dependencies** : xmltodict package
8 months ago
Boris Feld 404abf139a
community: Add CometLLM tracing context var (#15765)
I also added LANGCHAIN_COMET_TRACING to enable the CometLLM tracing
integration similar to other tracing integrations. This is easier for
end-users to enable it rather than importing the callback and pass it
manually.

(This is the same content as
https://github.com/langchain-ai/langchain/pull/14650 but rebased and
squashed as something seems to confuse Github Action).
8 months ago
DL b9e7f6f38a
community[minor]: Bedrock async methods (#12477)
Description: Added support for asynchronous streaming in the Bedrock
class and corresponding tests.

Primarily:
  async def aprepare_output_stream
    async def _aprepare_input_and_invoke_stream
    async def _astream
    async def _acall

I've ensured that the code adheres to the project's linting and
formatting standards by running make format, make lint, and make test.

Issue: #12054, #11589

Dependencies: None

Tag maintainer: @baskaryan 

Twitter handle: @dominic_lovric

---------

Co-authored-by: Piyush Jain <piyushjain@duck.com>
8 months ago
Frank995 5694728816
community[patch]: Implement vector length definition at init time in PGVector for indexing (#16133)
Replace this entire comment with:
- **Description:** allow user to define tVector length in PGVector when
creating the embedding store, this allows for later indexing
  - **Issue:** #16132
  - **Dependencies:** None
8 months ago
parkererickson-tg b26a22f307
community[minor]: add TigerGraph support (#16280)
**Description:** Add support for querying TigerGraph databases through
the InquiryAI service.
**Issue**: N/A
**Dependencies:** N/A
**Twitter handle:** @TigerGraphDB
8 months ago
Alireza Kashani d1b4ead87c
community[patch]: Update grobid.py (#16298)
there is a case where "coords" does not exist in the "sentence"
therefore, the "split(";")" will lead to error.

we can fix that by adding "if sentence.get("coords") is not None:" 

the resulting empty "sbboxes" from this scenario will raise error at
"sbboxes[0]["page"]" because sbboxes are empty.

the PDF from https://pubmed.ncbi.nlm.nih.gov/23970373/ can replicate
those errors.
8 months ago
s-g-1 fbe592a5ce
community[patch]: fix typo in pgvecto_rs debug msg (#16318)
fixes typo in pip install message for the pgvecto_rs community vector
store
no issues found mentioning this
no dependents changed
8 months ago
Ian b9f5104e6c
communty[minor]: Store Message History to TiDB Database (#16304)
This pull request integrates the TiDB database into LangChain for
storing message history, marking one of several steps towards a
comprehensive integration of TiDB with LangChain.


A simple usage
```python
from datetime import datetime
from langchain_community.chat_message_histories import TiDBChatMessageHistory

history = TiDBChatMessageHistory(
    connection_string="mysql+pymysql://<host>:<PASSWORD>@<host>:4000/<db>?ssl_ca=/etc/ssl/cert.pem&ssl_verify_cert=true&ssl_verify_identity=true",
    session_id="code_gen",
    earliest_time=datetime.utcnow(),  # Optional to set earliest_time to load messages after this time point.
)

history.add_user_message("hi! How's feature going?")
history.add_ai_message("It's almot done")
```
8 months ago
Erick Friis cfe95ab085
multiple: update langsmith dep (#16407) 8 months ago
Eli Lucherini 6b2a57161a
community[patch]: allow additional kwargs in MlflowEmbeddings for compatibility with Cohere API (#15242)
- **Description:** add support for kwargs in`MlflowEmbeddings`
`embed_document()` and `embed_query()` so that all the arguments
required by Cohere API (and others?) can be passed down to the server.
  - **Issue:** #15234 
- **Dependencies:** MLflow with MLflow Deployments (`pip install
mlflow[genai]`)

**Tests**
Now this code [adapted from the
docs](https://python.langchain.com/docs/integrations/providers/mlflow#embeddings-example)
for the Cohere API works locally.

```python
"""
Setup
-----
export COHERE_API_KEY=...
mlflow deployments start-server --config-path examples/deployments/cohere/config.yaml

Run
---
python /path/to/this/file.py
"""
embeddings = MlflowCohereEmbeddings(target_uri="http://127.0.0.1:5000", endpoint="embeddings")
print(embeddings.embed_query("hello")[:3])
print(embeddings.embed_documents(["hello", "world"])[0][:3])
```

Output
```
[0.060455322, 0.028793335, -0.025848389]
[0.031707764, 0.021057129, -0.009361267]
```
8 months ago
Guillem Orellana Trullols aad2aa7188
community[patch]: BedrockChat -> Support Titan express as chat model (#15408)
Titan Express model was not supported as a chat model because LangChain
messages were not "translated" to a text prompt.

Co-authored-by: Guillem Orellana Trullols <guillem.orellana_trullols@siemens.com>
8 months ago
Katarina Supe 01c2f27ffa
community[patch]: Update Memgraph support (#16360)
- **Description:** I removed two queries to the database and left just
one whose results were formatted afterward into other type of schema
(avoided two calls to DB)
  - **Issue:** /
  - **Dependencies:** /
  - **Twitter handle:** @supe_katarina
8 months ago
Max Jakob 8569b8f680
community[patch]: ElasticsearchStore enable max inner product (#16393)
Enable max inner product for approximate retrieval strategy. For exact
strategy we lack the necessary `maxInnerProduct` function in the
Painless scripting language, this is why we do not add it there.

Similarity docs:
https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html#dense-vector-params

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Joe McElroy <joseph.mcelroy@elastic.co>
8 months ago
Iskren Ivov Chernev fc196cab12
community[minor]: DeepInfra support for chat models (#16380)
Add deepinfra chat models support.

This is https://github.com/langchain-ai/langchain/pull/14234 re-opened
from my branch (so maintainers can edit).
8 months ago
Bagatur 85e8423312
community[patch]: Update bing results tool name (#16395)
Make BingSearchResults tool name OpenAI functions compatible (can't have
spaces).

Fixes #16368
8 months ago
Max Jakob de209af533
community[patch]: ElasticsearchStore: add relevance function selector (#16378)
Implement similarity function selector for ElasticsearchStore. The
scores coming back from Elasticsearch are already similarities (not
distances) and they are already normalized (see
[docs](https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html#dense-vector-params)).
Hence we leave the scores untouched and just forward them.

This fixes #11539.

However, in hybrid mode (when keyword search and vector search are
involved) Elasticsearch currently returns no scores. This PR adds an
error message around this fact. We need to think a bit more to come up
with a solution for this case.

This PR also corrects a small error in the Elasticsearch integration
test.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
8 months ago
Tom Jorquera 1445ac95e8
community[patch]: Enable streaming for GPT4all (#16392)
`streaming` param was never passed to model
8 months ago
Bagatur 8779013847
community[patch]: Release 0.0.14 (#16384) 8 months ago
Bagatur 1dc6c1ce06
core[patch], community[patch], langchain[patch], docs: Update SQL chains/agents/docs (#16168)
Revamp SQL use cases docs. In the process update SQL chains and agents.
8 months ago
Luke 5396604ef4
community: Handling missing key in Google Trends API response. (#15864)
- **Description:** Handing response where _interest_over_time_ is
missing.
  - **Issue:** #15859
  - **Dependencies:** None
8 months ago
Virat Singh c2a614eddc
community: Add PolygonLastQuote Tool and Toolkit (#15990)
**Description:** 
In this PR, I am adding a `PolygonLastQuote` Tool, which can be used to
get the latest price quote for a given ticker / stock.

Additionally, I've added a Polygon Toolkit, which we can use to
encapsulate future tools that we build for Polygon.

**Twitter handle:** [@virattt](https://twitter.com/virattt)

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Ofer Mendelevitch ffae98d371
template: Update Vectara templates (#15363)
fixed multi-query template for Vectara
added self-query template for Vectara

Also added prompt_name parameter to summarization

CC @efriis 
 **Twitter handle:** @ofermend
8 months ago
Carey 021b0484a8
community[patch]: add skipped test for inner product normalization (#14989)
---------

Co-authored-by: Erick Friis <erick@langchain.dev>
8 months ago
Christophe Bornet 3ccbe11363
community[minor]: Add Cassandra document loader (#16215)
- **Description:** document loader for Apache Cassandra
  - **Twitter handle:** cbornet_
8 months ago
mikeFore4 9d32af72ce
community[patch]: huggingface hub character removal bug fix (#16233)
- **Description:** Some text-generation models on huggingface repeat the
prompt in their generated response, but not all do! The tests use "gpt2"
which DOES repeat the prompt and as such, the HuggingFaceHub class is
hardcoded to remove the first few characters of the response (to match
the len(prompt)). However, if you are using a model (such as the very
popular "meta-llama/Llama-2-7b-chat-hf") that DOES NOT repeat the prompt
in it's generated text, then the beginning of the generated text will be
cut off. This code change fixes that bug by first checking whether the
prompt is repeated in the generated response and removing it
conditionally.
  - **Issue:** #16232 
  - **Dependencies:** N/A
  - **Twitter handle:** N/A
8 months ago
Andreas Motl 3613d8a2ad
community[patch]: Use SQLAlchemy's `bulk_save_objects` method to improve insert performance (#16244)
- **Description:** Improve [pgvector vector store
adapter](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py)
to save embeddings in batches, to improve its performance.
  - **Issue:** NA
  - **Dependencies:** NA
  - **References:** https://github.com/crate-workbench/langchain/pull/1


Hi again from the CrateDB team,

following up on GH-16243, this is another minor patch to the pgvector
vector store adapter. Inserting embeddings in batches, using
[SQLAlchemy's
`bulk_save_objects`](https://docs.sqlalchemy.org/en/20/orm/session_api.html#sqlalchemy.orm.Session.bulk_save_objects)
method, can deliver substantial performance gains.

With kind regards,
Andreas.

NB: As I am seeing just now that this method is a legacy feature of SA
2.0, it will need to be reworked on a future iteration. However, it is
not deprecated yet, and I haven't been able to come up with a different
implementation, yet.
8 months ago
Christophe Bornet 3502a407d9
infra: Use dotenv in langchain-community's integration tests (#16137)
* Removed some env vars not used in langchain package IT
* Added Astra DB env vars in langchain package, used for cache tests
* Added conftest.py to load env vars in langchain_community IT
* Added .env.example in  langchain_community IT
8 months ago
Tomaz Bratanic 1e80113ac9
community[patch]: Add neo4j timeout and value sanitization option (#16138)
The timeout function comes in handy when you want to kill longrunning
queries.
The value sanitization removes all lists that are larger than 128
elements. The idea here is to remove embedding properties from results.
8 months ago
Krishna Shedbalkar f238217cea
community[patch]: Basic Logging and Human input to ShellTool (#15932)
- **Description:** As Shell tool is very versatile, while integrating it
into applications as openai functions, developers have no clue about
what command is being executed using the ShellTool. All one can see is:

![image](https://github.com/langchain-ai/langchain/assets/60742358/540e274a-debc-4564-9027-046b91424df3)

Summarising my feature request:
1. There's no visibility about what command was executed.
2. There's no mechanism to prevent a command to be executed using
ShellTool, like a y/n human input which can be accepted from user to
proceed with executing the command.,
  - **Issue:** the issue #15931 it fixes if applicable,
  - **Dependencies:** There isn't any dependancy,
  - **Twitter handle:** @krishnashed
8 months ago
Christophe Bornet fb940d11df
community[patch]: Use newer MetadataVectorCassandraTable in Cassandra vector store (#15987)
as VectorTable is deprecated

Tested manually with `test_cassandra.py` vector store integration test.
8 months ago
Mohammad Mohtashim 1fa056c324
community[patch]: Don't set search path for unknown SQL dialects (#16047)
- **Description:** Made a small fix for the `SQLDatabase` highlighted in
an issue. The issue pertains to switching schema for different SQL
engines. 
  - **Issue:** #16023
@baskaryan
8 months ago
Leonid Ganeline c5f6b828ad
langchain[patch], community[minor]: move `output_parsers.ernie_functions` (#16057)
`output_parsers.ernie_functions` moved into `community`
8 months ago
Fei Wang d0e101e4e0
community[patch]: fix ollama astream (#16070)
Update ollama.py
8 months ago
BeatrixCohere b0c3e3db2b
community[patch]: Handle when documents are not provided in the Cohere response (#16144)
- **Description:** This handles the cohere response when documents
aren't included in the response
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Twitter handle:** N/A
8 months ago
Felix Krones d91126fc64
community[patch]: missing unpack operator for or_clause in pgvector document filter (#16148)
- Fix for #16146 
- Adding unpack operation to "or" and "and" filter for pgvector
retriever. #
8 months ago
William FH e5cf1e2414
Community[patch]use secret str in Tavily and HuggingFaceInferenceEmbeddings (#16109)
So the api keys don't show up in repr's 

Still need to do tests
8 months ago
William FH f3601b0aaf
Community[Patch] Remove docs form bm25 repr (#16110)
Resolves: https://github.com/langchain-ai/langsmith-sdk/issues/356
8 months ago
Erick Friis 52114bdfac
community[patch]: release 0.0.13 (#16087) 8 months ago
James Briggs ca288d8f2c
community[patch]: add vector param to index query for pinecone vec store (#16054) 8 months ago
Antonio Morales 476fb328ee
community[patch]: implement adelete from VectorStore in Qdrant (#16005)
**Description:**
Implement `adelete` function from `VectorStore` in `Qdrant` to support
other asynchronous flows such as async indexing (`aindex`) which
requires `adelete` to be implemented. Since `Qdrant` can be passed an
async qdrant client, this can be supported easily.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
高远 061e63eef2
community[minor]: add vikingdb vecstore (#15155)
---------

Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>
8 months ago