Commit Graph

2079 Commits (ff732e10f86d2050cc2944190f3268ecb9594b73)

Author SHA1 Message Date
Anar ff732e10f8
LLMRails Embedding (#10959)
LLMRails  Embedding Integration
This PR provides integration with LLMRails. Implemented here are:

langchain/embeddings/llm_rails.py
docs/extras/integrations/text_embedding/llm_rails.ipynb


Hi @hwchase17 after adding our vectorstore integration to langchain with
confirmation of you and @baskaryan, now we want to add our embedding
integration

---------

Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Michael Feil 94e31647bd
Support for Gradient.ai embedding (#10968)
Adds support for gradient.ai's embedding model.

This will remain a Draft, as the code will likely be refactored with the
`pip install gradientai` python sdk.
1 year ago
Bagatur 5fd13c22ad
redirect mrkl (#10979) 1 year ago
Bagatur 6f781902ae
vercel fix (#10951) 1 year ago
Bagatur f0408c347f
llm feat table revision (#10947) 1 year ago
Harrison Chase 9062e36722
Harrison/agents structured (#10911) 1 year ago
Bagatur 281a332784
table fix (#10944) 1 year ago
Bagatur 5336d87c15
update feat table (#10939) 1 year ago
Greg Richardson 4eee789dd3
Docs: Using SupabaseVectorStore with existing documents (#10907)
## Description
Adds additional docs on how to use `SupabaseVectorStore` with existing
data in your DB (vs inserting new documents each time).
1 year ago
Bagatur cab55e9bc1
add vertex prod features (#10910)
- chat vertex async
- vertex stream
- vertex full generation info
- vertex use server-side stopping
- model garden async
- update docs for all the above

in follow up will add
[] chat vertex full generation info
[] chat vertex retries
[] scheduled tests
1 year ago
Bagatur dccc20b402
add model feat table (#10921) 1 year ago
Harrison Chase bb3e6cb427
lcel benefits (#10898) 1 year ago
Maksym Diabin 697efd9757
JSONLoader Documentation Fix (#10505)
- Description: 
Updated JSONLoader usage documentation which was making it unusable
- Issue: JSONLoader if used with the documented arguments was failing on
various JSON documents.
- Dependencies: 
no dependencies
- Twitter handle: @TheSlnArchitect
1 year ago
Harrison Chase a1ade48e8f
update agent docs (#10894) 1 year ago
Stefano Lottini 40e836c67e
added Cassandra caches to the llm_caching notebook doc (#10889)
This adds a section on usage of `CassandraCache` and
`CassandraSemanticCache` to the doc notebook about caching LLMs, as
suggested in [this
comment](https://github.com/langchain-ai/langchain/pull/9772/#issuecomment-1710544100)
on a previous merged PR.

I also spotted what looks like a mismatch between different executions
and propose a fix (line 98).

Being the result of several runs, the cell execution numbers are
scrambled somewhat, so I volunteer to refine this PR by (manually)
re-numbering the cells to restore the appearance of a single, smooth
running (for the sake of orderly execution :)
1 year ago
Matvey Arye 6e02c45ca4
Add integration for Timescale Vector(Postgres) (#10650)
**Description:**
This commit adds a vector store for the Postgres-based vector database
(`TimescaleVector`).

Timescale Vector(https://www.timescale.com/ai) is PostgreSQL++ for AI
applications. It enables you to efficiently store and query billions of
vector embeddings in `PostgreSQL`:
- Enhances `pgvector` with faster and more accurate similarity search on
1B+ vectors via DiskANN inspired indexing algorithm.
- Enables fast time-based vector search via automatic time-based
partitioning and indexing.
- Provides a familiar SQL interface for querying vector embeddings and
relational data.

Timescale Vector scales with you from POC to production:
- Simplifies operations by enabling you to store relational metadata,
vector embeddings, and time-series data in a single database.
- Benefits from rock-solid PostgreSQL foundation with enterprise-grade
feature liked streaming backups and replication, high-availability and
row-level security.
- Enables a worry-free experience with enterprise-grade security and
compliance.

Timescale Vector is available on Timescale, the cloud PostgreSQL
platform. (There is no self-hosted version at this time.) LangChain
users get a 90-day free trial for Timescale Vector.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Avthar Sewrathan <avthar@timescale.com>
1 year ago
Michael Feil 55570e54e1
gradient.ai LLM intregration (#10800)
- **Description:** This PR implements a new LLM API to
https://gradient.ai
- **Issue:** Feature request for LLM #10745 
- **Dependencies**: No additional dependencies are introduced. 
- **Tag maintainer:** I am opening this PR for visibility, once ready
for review I'll tag.

- ```make format && make lint && make test``` is running.
- added a `integration` and `mock unit` test.


Co-authored-by: michaelfeil <me@michaelfeil.eu>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase 808caca607
beef up agent docs (#10866) 1 year ago
Bagatur 4b558c9e17
update guide imports (#10865) 1 year ago
Sharath Rajasekar 96023f94d9
Add Javelin integration (#10275)
We are introducing the py integration to Javelin AI Gateway
www.getjavelin.io. Javelin is an enterprise-scale fast llm router &
gateway. Could you please review and let us know if there is anything
missing.

Javelin AI Gateway wraps Embedding, Chat and Completion LLMs. Uses
javelin_sdk under the covers (pip install javelin_sdk).

Author: Sharath Rajasekar, Twitter: @sharathr, @javelinai

Thanks!!
1 year ago
Harrison Chase 4074ea4c41
fix databricks docs (#10858) 1 year ago
Bagatur 405ba44d37
more redirects (#10859) 1 year ago
Bagatur 716c925a85
redirect platform to provider (#10857) 1 year ago
Mukit Momin 67c5950df3
Amazon Bedrock Support Streaming (#10393)
### Description

- Add support for streaming with `Bedrock` LLM and `BedrockChat` Chat
Model.
- Bedrock as of now supports streaming for the `anthropic.claude-*` and
`amazon.titan-*` models only, hence support for those have been built.
- Also increased the default `max_token_to_sample` for Bedrock
`anthropic` model provider to `256` from `50` to keep in line with the
`Anthropic` defaults.
- Added examples for streaming responses to the bedrock example
notebooks.

**_NOTE:_**: This PR fixes the issues mentioned in #9897 and makes that
PR redundant.
1 year ago
Bagatur 095f300bf6
add lcel how to index (#10850) 1 year ago
DanielZzz ebe08412ad
fix: chat_models Qianfan not compatiable with SystemMessage (#10642)
- **Description:** QianfanEndpoint bugs for SystemMessages. When the
`SystemMessage` is input as the messages to
`chat_models.QianfanEndpoint`. A `TypeError` will be raised.
  - **Issue:** #10643
  - **Dependencies:** 
  - **Tag maintainer:** @baskaryan
  - **Twitter handle:** no
1 year ago
Aashish Saini 7395c28455
corrected spelling (#62) (#10816) 1 year ago
zhanghexian 0abe996409
add clustered vearch in langchain (#10771)
---------

Co-authored-by: zhanghexian1 <zhanghexian1@jd.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
HeTaoPKU f505320a73
Add Minimax chat model (#10776)
resolve the merging issues for
https://github.com/langchain-ai/langchain/pull/6757

---------

Co-authored-by: 何涛 <taohe@bytedance.com>
1 year ago
Anar c656a6b966
LLMRails (#10796)
### LLMRails Integration
This PR provides integration with LLMRails. Implemented here are:

langchain/vectorstore/llm_rails.py
tests/integration_tests/vectorstores/test_llm_rails.py
docs/extras/integrations/vectorstores/llm-rails.ipynb

---------

Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase 1dae3c383e
Harrison/add submodule to docs (#10803) 1 year ago
Harrison Chase 5d0493f652
improve notebook (#10804) 1 year ago
Harrison Chase d2bee34d4c
Harrison/add vald (#10807)
Co-authored-by: datelier <57349093+datelier@users.noreply.github.com>
1 year ago
Mateusz Wosinski a29cd89923
Synthetic data generation (#9759)
### Description

Implements synthetic data generation with the fields and preferences
given by the user. Adds showcase notebook.
Corresponding prompt was proposed for langchain-hub.

### Example

```
output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}})
print(output)

# {'fields': {'colors': ['blue', 'yellow']},
 'preferences': {'style': 'Make it in a style of a weather forecast.'},
 'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."}
```

### Twitter handle 

@deepsense_ai @matt_wosinski

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Mateusz Wosinski 720f6dbaac
Add XMLOutputParser (#10051)
**Description**
Adds new output parser, this time enabling the output of LLM to be of an
XML format. Seems to be particularly useful together with Claude model.
Addresses [issue
9820](https://github.com/langchain-ai/langchain/issues/9820).

**Twitter handle**
@deepsense_ai @matt_wosinski
1 year ago
Aashish Saini 33781ac4a2
Update sequential_chains.mdx (#64) (#10793)
Fixed some more grammatical issues
@baskaryan

Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com>
Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
Co-authored-by: Saransh Sharma <142397365+SaranshSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: GhayurHamzaShorthillsAI <136243850+GhayurHamzaShorthillsAI@users.noreply.github.com>
Co-authored-by: Puneet Dhiman <142409038+PuneetDhimanShorthillsAI@users.noreply.github.com>
Co-authored-by: Riya Rana <142411643+RiyaRanaShorthillsAI@users.noreply.github.com>
1 year ago
Bagatur 73afd72e1d
fix qa structured link (#10799)
redirect not working for some reason
1 year ago
Aashish Saini 1b050b98f5
Corrected some spelling mistakes and grammatical errors (#10791)
Corrected some spelling mistakes and grammatical errors
CC: @baskaryan, @eyurtsev, @hwchase17.

---------

Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com>
Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
Co-authored-by: ishita <chauhanishita5356@gmail.com>
1 year ago
Raunak Chowdhuri b338e492fc
Remembrall Integration (#10767)
- **Description:** Added integration instructions for Remembrall. 
  - **Tag maintainer:** @hwchase17 
  - **Twitter handle:** @raunakdoesdev

Fun fact, this project originated at the Modal Hackathon in NYC where it
won the Best LLM App prize sponsored by Langchain. Thanks for your
support 🦜
1 year ago
Aashish Saini 6a98974bd0
Update argilla.ipynb with spelling fix (#10611)
Fixed spelling of **responses** and removed extra "the"
1 year ago
Jacob Lee 71025013f8
Update routing cookbook to include a RunnableBranch example (#10754)
~~Because we can't pass extra parameters into a prompt, we have to
prepend a function before the runnable calls in the branch and it's a
bit less elegant than I'd like.~~

All good now that #10765 has landed!

@eyurtsev @hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Taqi Jaffri 54763a61f8
fix broken link in docugami loader docs (#10753)
Just fixing the link to the self query retriever in docugami loader docs

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
1 year ago
Bagatur 4c80978ec6
mv data bricks sql page (#10748) 1 year ago
Harrison Chase e404fd39dd
add anthropic page (#10666) 1 year ago
Jiayi Ni ce61840e3b
ENH: Add `llm_kwargs` for Xinference LLMs (#10354)
- This pr adds `llm_kwargs` to the initialization of Xinference LLMs
(integrated in #8171 ).
- With this enhancement, users can not only provide `generate_configs`
when calling the llms for generation but also during the initialization
process. This allows users to include custom configurations when
utilizing LangChain features like LLMChain.
- It also fixes some format issues for the docstrings.
1 year ago
Bagatur d21a494a27
mention how-to in LCEL index (#10727) 1 year ago
Bagatur 3992c1ae9b
runnable bind how to nit (#10718) 1 year ago
Bagatur c3e52ba8ab
Runnable fallbacks howto (#10717) 1 year ago
Bagatur 441a5c2b30
Runnable binding how to (#10716) 1 year ago
Bagatur 4a7da3ce3b
add runnable map how to (#10715) 1 year ago