Commit Graph

282 Commits

Author SHA1 Message Date
Ackermann Yuriy
5e50b89164
Added embeddings support for ollama (#10124)
- Description: Added support for Ollama embeddings
  - Issue: the issue # it fixes (if applicable),
  - Dependencies: N/A
- Tag maintainer: for a quicker response, tag the relevant maintainer
(see below),
  - Twitter handle: @herrjemand

cc  https://github.com/jmorganca/ollama/issues/436
2023-09-14 17:42:39 -07:00
Bagatur
48a4efc51a
Bagatur/update replicate nb (#10605) 2023-09-14 15:21:42 -07:00
Bagatur
77a165e0d9
fix replicate output type (#10598) 2023-09-14 14:02:01 -07:00
Aashish Saini
7608f85f13
Removed duplicate heading (#10570)
**I recently reviewed the content and identified that there heading
appeared twice on the docs.**
2023-09-14 12:35:37 -07:00
Bagatur
7f3f6097e7
Add mmr support to redis retriever (#10556) 2023-09-14 08:43:50 -07:00
Tomaz Bratanic
e1e01d6586
Add Neo4j vector index hybrid search (#10442)
Adding support for Neo4j vector index hybrid search option. In Neo4j,
you can achieve hybrid search by using a combination of vector and
fulltext indexes.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-14 08:29:16 -07:00
ItzPAX
cbb4860fcd
fix typo in aleph_alpha.ipynb (#10478)
fixes the aleph_alpha.ipynb typo from contnt to content
2023-09-13 17:09:11 -07:00
stonekim
adabdfdfc7
Add Baidu Qianfan endpoint for LLM (#10496)
- Description:
* Baidu AI Cloud's [Qianfan
Platform](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) is an
all-in-one platform for large model development and service deployment,
catering to enterprise developers in China. Qianfan Platform offers a
wide range of resources, including the Wenxin Yiyan model (ERNIE-Bot)
and various third-party open-source models.
- Issue: none
- Dependencies: 
    * qianfan
- Tag maintainer: @baskaryan
- Twitter handle:

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-13 16:23:49 -07:00
Leonid Ganeline
f4e6eac3b6
docs: self-query consistency (#10502)
The `self-que[ring`
navbar](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/)
has repeated `self-quering` repeated in each menu item. I've simplified
it to be more readable
- removed `self-quering` from a title of each page;
- added description to the vector stores
- added description and link to the Integration Card
(`integrations/providers`) of the vector stores when they are missed.
2023-09-13 14:43:04 -07:00
Stefano Lottini
415d38ae62
Cassandra Vector Store, add metadata filtering + improvements (#9280)
This PR addresses a few minor issues with the Cassandra vector store
implementation and extends the store to support Metadata search.

Thanks to the latest cassIO library (>=0.1.0), metadata filtering is
available in the store.

Further,
- the "relevance" score is prevented from being flipped in the [0,1]
interval, thus ensuring that 1 corresponds to the closest vector (this
is related to how the underlying cassIO class returns the cosine
difference);
- bumped the cassIO package version both in the notebooks and the
pyproject.toml;
- adjusted the textfile location for the vector-store example after the
reshuffling of the Langchain repo dir structure;
- added demonstration of metadata filtering in the Cassandra vector
store notebook;
- better docstring for the Cassandra vector store class;
- fixed test flakiness and removed offending out-of-place escape chars
from a test module docstring;

To my knowledge all relevant tests pass and mypy+black+ruff don't
complain. (mypy gives unrelated errors in other modules, which clearly
don't depend on the content of this PR).

Thank you!
Stefano

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-13 14:18:39 -07:00
Joshua Sundance Bailey
85e05fa5d6
ArcGISLoader: add keyword arguments, error handling, and better tests (#10558)
* More clarity around how geometry is handled. Not returned by default;
when returned, stored in metadata. This is because it's usually a waste
of tokens, but it should be accessible if needed.
* User can supply layer description to avoid errors when layer
properties are inaccessible due to passthrough access.
* Enhanced testing
* Updated notebook

---------

Co-authored-by: Connor Sutton <connor.sutton@swca.com>
Co-authored-by: connorsutton <135151649+connorsutton@users.noreply.github.com>
2023-09-13 14:12:42 -07:00
wxd
f9636b6cd2
add vearch repository link (#10491)
- Description: add vearch repository link
2023-09-13 12:06:47 -07:00
Bagatur
97122fb577
Integration with ElevenLabs text to speech (#10181)
- Description: adds integration with ElevenLabs text-to-speech
[component](https://github.com/elevenlabs/elevenlabs-python) in the
similar way it has been already done for [azure cognitive
services](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/tools/azure_cognitive_services/text2speech.py)
  - Dependencies: elevenlabs
  - Twitter handle: @deepsense_ai, @matt_wosinski
- Future plans: refactor both implementations in order to avoid dumping
speech file, but rather to keep it in memory.
2023-09-12 22:56:53 -07:00
Riyadh Rahman
d45b042d3e
Added gitlab toolkit and notebook (#10384)
### Description

Adds Gitlab toolkit functionality for agent

### Twitter handle

@_laplaceon

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-11 16:16:50 -07:00
Bagatur
70b6897dc1
Mv vearch provider doc (#10466) 2023-09-11 15:00:40 -07:00
Rajesh Kumar
737b75d278
Latest version of HazyResearch/manifest doesn't support accessing "client" directly (#10389)
**Description:** 
The latest version of HazyResearch/manifest doesn't support accessing
the "client" directly. The latest version supports connection pools and
a client has to be requested from the client pool.
**Issue:**
No matching issue was found
**Dependencies:** 
The manifest.ipynb file in docs/extras/integrations/llms need to be
updated
**Twitter handle:** 
@hrk_cbe
2023-09-11 14:22:53 -07:00
Christopher Pereira
4c732c8894
Fixed documentation (#10451)
It's ._collection, not ._collection_
2023-09-11 11:51:58 -07:00
John Mai
e0d45e6a09
Implemented MMR search for PGVector (#10396)
Description: Implemented MMR search for PGVector.
Issue: #7466
Dependencies: None
Tag maintainer: 
Twitter handle: @JohnMai95
2023-09-09 15:26:22 -07:00
ColabDog
6ad6bb46c4
Feature/add deepeval (#10349)
Description: Adding `DeepEval` - which provides an opinionated framework
for testing and evaluating LLMs
Issue: Missing Deepeval
Dependencies: Optional DeepEval dependency
Tag maintainer: @baskaryan   (not 100% sure)
Twitter handle: https://twitter.com/ColabDog
2023-09-09 13:28:17 -07:00
eryk-dsai
675d57df50
New LLM integration: Ctranslate2 (#10400)
## Description:

I've integrated CTranslate2 with LangChain. CTranlate2 is a recently
popular library for efficient inference with Transformer models that
compares favorably to alternatives such as HF Text Generation Inference
and vLLM in
[benchmarks](https://hamel.dev/notes/llm/inference/03_inference.html).
2023-09-09 13:19:00 -07:00
zhanghexian
62fa2bc518
Add Vearch vectorstore (#9846)
---------

Co-authored-by: zhanghexian1 <zhanghexian1@jd.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-08 16:51:14 -07:00
Bagatur
7203c97e8f
Add redis self-query support (#10199) 2023-09-08 16:43:16 -07:00
Hugues
3e5a143625
Enhancements and bug fixes for LLMonitorCallbackHandler (#10297)
Hi @baskaryan,

I've made updates to LLMonitorCallbackHandler to address a few bugs
reported by users
These changes don't alter the fundamental behavior of the callback
handler.

Thanks you!

---------

Co-authored-by: vincelwt <vince@lyser.io>
2023-09-08 15:56:42 -07:00
Hamza Tahboub
8c0f391815
Implemented MMR search for Redis (#10140)
Description: Implemented MMR search for Redis. Pretty straightforward,
just using the already implemented MMR method on similarity
search–fetched docs.
Issue: #10059
Dependencies: None
Twitter handle: @hamza_tahboub

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-08 15:14:44 -07:00
Bagatur
9095dc69ac Konko fix dependency 2023-09-08 10:06:37 -07:00
Michael Haddad
c6b27b3692
add konko chat_model files (#10267)
_Thank you to the LangChain team for the great project and in advance
for your review. Let me know if I can provide any other additional
information or do things differently in the future to make your lives
easier 🙏 _

@hwchase17 please let me know if you're not the right person to review 😄

This PR enables LangChain to access the Konko API via the chat_models
API wrapper.

Konko API is a fully managed API designed to help application
developers:

1. Select the right LLM(s) for their application
2. Prototype with various open-source and proprietary LLMs
3. Move to production in-line with their security, privacy, throughput,
latency SLAs without infrastructure set-up or administration using Konko
AI's SOC 2 compliant infrastructure

_Note on integration tests:_ 
We added 14 integration tests. They will all fail unless you export the
right API keys. 13 will pass with a KONKO_API_KEY provided and the other
one will pass with a OPENAI_API_KEY provided. When both are provided,
all 14 integration tests pass. If you would like to test this yourself,
please let me know and I can provide some temporary keys.

### Installation and Setup

1. **First you'll need an API key**
2. **Install Konko AI's Python SDK**
    1. Enable a Python3.8+ environment
    
    `pip install konko`
    
3.  **Set API Keys**
    
          **Option 1:** Set Environment Variables
    
    You can set environment variables for
    
    1. KONKO_API_KEY (Required)
    2. OPENAI_API_KEY (Optional)
    
    In your current shell session, use the export command:
    
    `export KONKO_API_KEY={your_KONKO_API_KEY_here}`
    `export OPENAI_API_KEY={your_OPENAI_API_KEY_here} #Optional`
    
Alternatively, you can add the above lines directly to your shell
startup script (such as .bashrc or .bash_profile for Bash shell and
.zshrc for Zsh shell) to have them set automatically every time a new
shell session starts.
    
    **Option 2:** Set API Keys Programmatically
    
If you prefer to set your API keys directly within your Python script or
Jupyter notebook, you can use the following commands:
    
    ```python
    konko.set_api_key('your_KONKO_API_KEY_here')
    konko.set_openai_api_key('your_OPENAI_API_KEY_here') # Optional
    
    ```
    

### Calling a model

Find a model on the [[Konko Introduction
page](https://docs.konko.ai/docs#available-models)](https://docs.konko.ai/docs#available-models)

For example, for this [[LLama 2
model](https://docs.konko.ai/docs/meta-llama-2-13b-chat)](https://docs.konko.ai/docs/meta-llama-2-13b-chat).
The model id would be: `"meta-llama/Llama-2-13b-chat-hf"`

Another way to find the list of models running on the Konko instance is
through this
[[endpoint](https://docs.konko.ai/reference/listmodels)](https://docs.konko.ai/reference/listmodels).

From here, we can initialize our model:

```python
chat_instance = ChatKonko(max_tokens=10, model = 'meta-llama/Llama-2-13b-chat-hf')

```

And run it:

```python
msg = HumanMessage(content="Hi")
chat_response = chat_instance([msg])

```
2023-09-08 10:00:55 -07:00
Mateusz Wosinski
69fe0621d4
Merge branch 'master' into deepsense/text-to-speech 2023-09-08 08:09:01 +02:00
Leonid Ganeline
fdba711d28
docs integrations/embeddings consistency (#10302)
Updated `integrations/embeddings`: fixed titles; added links,
descriptions
Updated `integrations/providers`.
2023-09-07 19:53:33 -07:00
Greg Richardson
300559695b
Supabase vector self querying retriever (#10304)
## Description
Adds Supabase Vector as a self-querying retriever.

- Designed to be backwards compatible with existing `filter` logic on
`SupabaseVectorStore`.
- Adds new filter `postgrest_filter` to `SupabaseVectorStore`
`similarity_search()` methods
- Supports entire PostgREST [filter query
language](https://postgrest.org/en/stable/references/api/tables_views.html#read)
(used by self-querying retriever, but also works as an escape hatch for
more query control)
- `SupabaseVectorTranslator` converts Langchain filter into the above
PostgREST query
- Adds Jupyter Notebook for the self-querying retriever
- Adds tests

## Tag maintainer
@hwchase17

## Twitter handle
[@ggrdson](https://twitter.com/ggrdson)
2023-09-07 15:03:26 -07:00
mateusz.wosinski
868db99b17 Merge branch 'master' into deepsense/text-to-speech 2023-09-07 19:43:03 +02:00
Ofer Mendelevitch
a9eb7c6cfc
Adding Self-querying for Vectara (#10332)
- Description: Adding support for self-querying to Vectara integration
  - Issue: per customer request
  - Tag maintainer: @rlancemartin @baskaryan 
  - Twitter handle: @ofermend 

Also updated some documentation, added self-query testing, and a demo
notebook with self-query example.
2023-09-07 10:24:50 -07:00
Bagatur
f0ccce76fe
nuclia db nit (#10334) 2023-09-07 09:48:56 -07:00
Bagatur
205f406485
nuclia nb nit (#10331) 2023-09-07 08:49:33 -07:00
Eric BREHAULT
19b4ecdc39
Implement NucliaDB vector store (#10236)
# Description

This pull request allows to use the
[NucliaDB](https://docs.nuclia.dev/docs/docs/nucliadb/intro) as a vector
store in LangChain.

It works with both a [local NucliaDB
instance](https://docs.nuclia.dev/docs/docs/nucliadb/deploy/basics) or
with [Nuclia Cloud](https://nuclia.cloud).

# Dependencies

It requires an up-to-date version of the `nuclia` Python package.

@rlancemartin, @eyurtsev, @hinthornw, please review it when you have a
moment :)

Note: our Twitter handler is `@NucliaAI`
2023-09-06 16:26:14 -07:00
JaéGeR
b8669b249e
Added Hugging face inference api (#10280)
Embed documents without locally downloading the HF model


---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-06 14:55:48 -07:00
Pihplipe Oegr
bce38b7163
Add notebook example to use sqlite-vss as a vector store. (#10292)
Follow-up PR for https://github.com/langchain-ai/langchain/pull/10047,
simply adding a notebook quickstart example for the vector store with
SQLite, using the class SQLiteVSS.

Maintainer tag @baskaryan

Co-authored-by: Philippe Oger <philippe.oger@adevinta.com>
2023-09-06 13:46:59 -07:00
Nik
49341483da
Update Banana.dev docs to latest correct usage (#10183)
- Description: this PR updates all Banana.dev-related docs to match the
latest client usage. The code in the docs before this PR were out of
date and would never run.
- Issue: [#6404](https://github.com/langchain-ai/langchain/issues/6404)
- Dependencies: -
- Tag maintainer:  
- Twitter handle: [BananaDev_ ](https://twitter.com/BananaDev_ )
2023-09-06 07:46:17 -07:00
mateusz.wosinski
7b7bea5424 Fix linters, update notebook 2023-09-06 10:22:42 +02:00
Bagatur
a94dc6ee44
model garden nit (#10194) 2023-09-04 11:42:35 -07:00
Aashish Saini
8bba69ffd0
Fixed some grammatical typos in doc files (#10191)
Fixed some grammatical typos in doc files
CC: @baskaryan, @eyurtsev, @rlancemartin.

---------

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>
2023-09-04 10:48:08 -07:00
mateusz.wosinski
6b9529e11a Update notebook 2023-09-04 15:23:24 +02:00
mateusz.wosinski
800fe4a73f Integration with eleven labs 2023-09-04 15:23:24 +02:00
Aashish Saini
f6f0b0f975
Fixed typo in bittensor.mdx (#10160)
Fixed Typo in bittenaor.mdx

---------

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: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
2023-09-03 21:49:33 -07:00
Christophe Bornet
803d0d9656
Add the possibility to configure boto3 in the S3 loaders (#9304)
- Description: this PR adds the possibility to configure boto3 in the S3
loaders. Any named argument you add will be used to create the Boto3
session. This is useful when the AWS credentials can't be passed as env
variables or can't be read from the credentials file.
  - Issue: N/A
  - Dependencies: N/A
  - Tag maintainer: ?
  - Twitter handle: cbornet_

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-03 21:06:49 -07:00
Leonid Ganeline
03174c91d0
docs: MLflow API and examples (#9547)
Added docs and links to the API and examples provided by MLflow itself
2023-09-03 20:52:20 -07:00
Leonid Ganeline
056e59672b
docs: DeepLake example (#9663)
Updated the `Deep Lake` example. Added a link to an example provided by
Activeloop.
2023-09-03 20:42:52 -07:00
seamusp
43c4c6dfcc
docs: misc modelIO fixes (#9734)
Various improvements to the Model I/O section of the documentation

- Changed "Chat Model" to "chat model" in a few spots for internal
consistency
- Minor spelling & grammar fixes to improve readability & comprehension
2023-09-03 20:33:20 -07:00
Terry Tan
8bc452a466
Enhance Google search tool SerpApi response (#10157)
Enhance SerpApi response which potential to have more relevant output.

<img width="345" alt="Screenshot 2023-09-01 at 8 26 13 AM"
src="https://github.com/langchain-ai/langchain/assets/10222402/80ff684d-e02e-4143-b218-5c1b102cbf75">

Query: What is the weather in Pomfret?

**Before:**

> I should look up the current weather conditions.
...
Final Answer: The current weather in Pomfret is 73°F with 1% chance of
precipitation and winds at 10 mph.

**After:**

> I should look up the current weather conditions.
...
Final Answer: The current weather in Pomfret is 62°F, 1% precipitation,
61% humidity, and 4 mph wind.

---

Query: Top team in english premier league?

**Before:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Liverpool FC is currently at the top of the English
Premier League.

**After:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Man City is currently at the top of the English Premier
League.

---

Query: Top team in english premier league?

**Before:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Liverpool FC is currently at the top of the English
Premier League.


**After:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Man City is currently at the top of the English Premier
League.

---

Query: Any upcoming events in Paris?

**Before:**

> I should look for events in Paris
Action: Search
...
Final Answer: Upcoming events in Paris this month include Whit Sunday &
Whit Monday (French National Holiday), Makeup in Paris, Paris Jazz
Festival, Fete de la Musique, and Salon International de la Maison de.

**After:**

> I should look for events in Paris
Action: Search
...
Final Answer: Upcoming events in Paris include Elektric Park 2023, The
Aces, and BEING AS AN OCEAN.
2023-09-03 20:24:19 -07:00
Philippe PRADOS
f59e5d48ed
Google drive integration (lite) (#9999)
My other
[pull-request](https://github.com/langchain-ai/langchain/pull/5135) is
too big to be acceptable.
I propose another 'lite' version.

I update only notebook to propose an integration with the external
project
[`langchain-googledrive`](https://github.com/pprados/langchain-googledrive).

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 15:54:42 -07:00
Viktor Zhemchuzhnikov
507e46844e
Extend SQLChatMessageHistory (#9849)
### Description

There is a really nice class for saving chat messages into a database -
SQLChatMessageHistory.
It leverages SqlAlchemy to be compatible with any supported database (in
contrast with PostgresChatMessageHistory, which is basically the same
but is limited to Postgres).

However, the class is not really customizable in terms of what you can
store. I can imagine a lot of use cases, when one will need to save a
message date, along with some additional metadata.

To solve this, I propose to extract the converting logic from
BaseMessage to SQLAlchemy model (and vice versa) into a separate class -
message converter. So instead of rewriting the whole
SQLChatMessageHistory class, a user will only need to write a custom
model and a simple mapping class, and pass its instance as a parameter.

I also noticed that there is no documentation on this class, so I added
that too, with an example of custom message converter.

### Issue

N/A

### Dependencies

N/A

### Tag maintainer

Not yet

### Twitter handle

N/A
2023-09-03 15:49:53 -07:00