Commit Graph

719 Commits

Author SHA1 Message Date
Harrison Chase
a775aa6389
Harrison/vertex (#5049)
Co-authored-by: Leonid Kuligin <kuligin@google.com>
Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com>
Co-authored-by: Justin Flick <Justinjayflick@gmail.com>
Co-authored-by: Justin Flick <jflick@homesite.com>
2023-05-24 15:51:12 -07:00
Davis Chase
dcee8936c1
nit (#5208) 2023-05-24 12:52:20 -07:00
Alon Diament
44abe925df
Add Joplin document loader (#5153)
# Add Joplin document loader

[Joplin](https://joplinapp.org/) is an open source note-taking app.

Joplin has a [REST API](https://joplinapp.org/api/references/rest_api/)
for accessing its local database. The proposed `JoplinLoader` uses the
API to retrieve all notes in the database and their metadata. Joplin
needs to be installed and running locally, and an access token is
required.

- The PR includes an integration test.
- The PR includes an example notebook.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 12:31:55 -07:00
Rodrigo Siqueira
f10be072ff
Add Iugu document loader (#5162)
Create IUGU loader
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 11:47:01 -07:00
Davis Chase
2b2176a3c1
tfidf retriever (#5114)
Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>
2023-05-24 10:02:09 -07:00
Shukri
b00c77dc62
Improve weaviate vectorstore docs (#5201)
# Improve weaviate vectorstore docs
2023-05-24 09:31:48 -07:00
Harrison Chase
11c26ebb55
Harrison/modelscope (#5156)
Co-authored-by: thomas-yanxin <yx20001210@163.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 08:06:45 -07:00
Jeff Vestal
cf19a2a59f
example usage (#5182)
Adding example usage for elasticsearch knn embeddings
[per](https://github.com/hwchase17/langchain/pull/3401#issuecomment-1548518389)


https://github.com/hwchase17/langchain/blob/master/langchain/embeddings/elasticsearch.py
2023-05-24 07:47:15 -07:00
Ikko Eltociear Ashimine
fff21a0b35
Update rellm_experimental.ipynb (#5189)
# Your PR Title (What it does)

HuggingFace -> Hugging Face
2023-05-24 11:41:00 +00:00
Nolan Tremelling
faa26650c9
Beam (#4996)
# Beam

Calls the Beam API wrapper to deploy and make subsequent calls to an
instance of the gpt2 LLM in a cloud deployment. Requires installation of
the Beam library and registration of Beam Client ID and Client Secret.
Additional calls can then be made through the instance of the large
language model in your code or by calling the Beam API.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:25:18 -07:00
Ofer Mendelevitch
c81fb88035
Vectara (#5069)
# Vectara Integration

This PR provides integration with Vectara. Implemented here are:
* langchain/vectorstore/vectara.py
* tests/integration_tests/vectorstores/test_vectara.py
* langchain/retrievers/vectara_retriever.py
And two IPYNB notebooks to do more testing:
* docs/modules/chains/index_examples/vectara_text_generation.ipynb
* docs/modules/indexes/vectorstores/examples/vectara.ipynb

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:24:58 -07:00
Jason Bosco
9c4b43b494
Add Typesense vector store (#1674)
Closes #931.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-23 23:20:45 -07:00
Leonid Ganeline
33929489b9
docs: added missed document_loaders examples (#5150)
# DOCS added missed document_loader examples

Added missed examples: `JSON`, `Open Document Format (ODT)`,
`Wikipedia`, `tomarkdown`.
Updated them to a consistent format.

## Who can review?

@hwchase17 
@dev2049
2023-05-23 21:56:41 -07:00
Daniel Quinteros
c111134a55
Clarification of the reference to the "get_text_legth" function in ge… (#5154)
# Clarification of the reference to the "get_text_legth" function in
getting_started.md

Reference to the function "get_text_legth" in the documentation did not
make sense. Comment added for clarification.

@hwchase17
2023-05-23 20:43:38 -07:00
Daniel Quinteros
de4ef24f75
Docs: updated getting_started.md (#5151)
# Docs: updated getting_started.md

Just accommodating some unnecessary spaces in the example of "pass few
shot examples to a prompt template".

@vowelparrot
2023-05-23 20:43:26 -07:00
Daniel King
de6e6c764e
Add MosaicML inference endpoints (#4607)
# Add MosaicML inference endpoints
This PR adds support in langchain for MosaicML inference endpoints. We
both serve a select few open source models, and allow customers to
deploy their own models using our inference service. Docs are here
(https://docs.mosaicml.com/en/latest/inference.html), and sign up form
is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not
intimately familiar with the details of langchain, or the contribution
process, so please let me know if there is anything that needs fixing or
this is the wrong way to submit a new integration, thanks!

I'm also not sure what the procedure is for integration tests. I have
tested locally with my api key.

## Who can review?
@hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-05-23 15:59:08 -07:00
Adheeban Manoharan
68f0d45485
Adding Weather Loader (#5056)
Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-23 15:57:33 -07:00
Jeff Vestal
0b542a9706
Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401)
This PR introduces a new module, `elasticsearch_embeddings.py`, which
provides a wrapper around Elasticsearch embedding models. The new
ElasticsearchEmbeddings class allows users to generate embeddings for
documents and query texts using a [model deployed in an Elasticsearch
cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding).

### Main features:

1. The ElasticsearchEmbeddings class initializes with an Elasticsearch
connection object and a model_id, providing an interface to interact
with the Elasticsearch ML client through
[infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model)
.
2. The `embed_documents()` method generates embeddings for a list of
documents, and the `embed_query()` method generates an embedding for a
single query text.
3. The class supports custom input text field names in case the deployed
model expects a different field name than the default `text_field`.
4. The implementation is compatible with any model deployed in
Elasticsearch that generates embeddings as output.

### Benefits:

1. Simplifies the process of generating embeddings using Elasticsearch
models.
2. Provides a clean and intuitive interface to interact with the
Elasticsearch ML client.
3. Allows users to easily integrate Elasticsearch-generated embeddings.

Related issue https://github.com/hwchase17/langchain/issues/3400

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-23 14:50:33 -07:00
Myeongseop Kim
7a75bb2121
docs: fix minor typo + add wikipedia package installation part in human_input_llm.ipynb (#5118)
# Fix typo + add wikipedia package installation part in
human_input_llm.ipynb
This PR
1. Fixes typo ("the the human input LLM"), 
2. Addes wikipedia package installation part (in accordance with
`WikipediaQueryRun`
[documentation](https://python.langchain.com/en/latest/modules/agents/tools/examples/wikipedia.html))

in `human_input_llm.ipynb`
(`docs/modules/models/llms/examples/human_input_llm.ipynb`)
2023-05-23 10:59:30 -07:00
Ayan Bandyopadhyay
5c87dbf5a8
Add link to Psychic from document loaders documentation page (#5115)
# Add link to Psychic from document loaders documentation page

In my previous PR I forgot to update `document_loaders.rst` to link to
`psychic.ipynb` to make it discoverable from the main documentation.
2023-05-23 06:47:23 -07:00
Tian Wei
d7f807b71f
Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012)
# Add AzureCognitiveServicesToolkit to call Azure Cognitive Services
API: achieve some multimodal capabilities

This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles
the following tools:
- AzureCogsImageAnalysisTool: calls Azure Cognitive Services image
analysis API to extract caption, objects, tags, and text from images.
- AzureCogsFormRecognizerTool: calls Azure Cognitive Services form
recognizer API to extract text, tables, and key-value pairs from
documents.
- AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to
text API to transcribe speech to text.
- AzureCogsText2SpeechTool: calls Azure Cognitive Services text to
speech API to synthesize text to speech.

This toolkit can be used to process image, document, and audio inputs.
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-23 06:45:48 -07:00
Matt Rickard
de6a401a22
Add OpenLM LLM multi-provider (#4993)
OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call
different inference endpoints directly via HTTP. It implements the
OpenAI Completion class so that it can be used as a drop-in replacement
for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added
code.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 18:09:53 -07:00
Gergely Imreh
69de33e024
Add Mastodon toots loader (#5036)
# Add Mastodon toots loader.

Loader works either with public toots, or Mastodon app credentials. Toot
text and user info is loaded.

I've also added integration test for this new loader as it works with
public data, and a notebook with example output run now.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 16:43:07 -07:00
Andreas Liebschner
44dc959584
Improve pinecone hybrid search retriever adding metadata support (#5098)
# Improve pinecone hybrid search retriever adding metadata support

I simply remove the hardwiring of metadata to the existing
implementation allowing one to pass `metadatas` attribute to the
constructors and in `get_relevant_documents`. I also add one missing pip
install to the accompanying notebook (I am not adding dependencies, they
were pre-existing).

First contribution, just hoping to help, feel free to critique :) 
my twitter username is `@andreliebschner`

While looking at hybrid search I noticed #3043 and #1743. I think the
former can be closed as following the example right now (even prior to
my improvements) works just fine, the latter I think can be also closed
safely, maybe pointing out the relevant classes and example. Should I
reply those issues mentioning someone?

@dev2049, @hwchase17

---------

Co-authored-by: Andreas Liebschner <a.liebschner@shopfully.com>
2023-05-22 11:42:54 -07:00
Harrison Chase
10ba201d05
Harrison/neo4j (#5078)
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 07:31:48 -07:00
Matt Robinson
bf3f554357
feat: batch multiple files in a single Unstructured API request (#4525)
### Submit Multiple Files to the Unstructured API

Enables batching multiple files into a single Unstructured API requests.
Support for requests with multiple files was added to both
`UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that
if you submit multiple files in "single" mode, the result will be
concatenated into a single document. We recommend using this feature in
"elements" mode.

### Testing

The following should load both documents, using two of the example docs
from the integration tests folder.

```python
    from langchain.document_loaders import UnstructuredAPIFileLoader

    file_paths = ["examples/layout-parser-paper.pdf",  "examples/whatsapp_chat.txt"]

    loader = UnstructuredAPIFileLoader(
        file_paths=file_paths,
        api_key="FAKE_API_KEY",
        strategy="fast",
        mode="elements",
    )
    docs = loader.load()
```
2023-05-21 20:48:20 -07:00
Harrison Chase
b0431c672b
Harrison/psychic (#5063)
Co-authored-by: Ayan Bandyopadhyay <ayanb9440@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-21 09:13:20 -07:00
Jeffrey Zheng
424a573266
DOC: Misspelling in agents.rst documentation (#5038)
# Corrected Misspelling in agents.rst Documentation

<!--
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In the
[documentation](https://python.langchain.com/en/latest/modules/agents.html)
it says "in fact, it is often best to have an Action Agent be in
**change** of the execution for the Plan and Execute agent."

**Suggested Change:** I propose correcting change to charge.

Fix for issue: #5039
2023-05-20 22:24:08 -07:00
Gengliang Wang
f9f08c4b69
Add documentation for Databricks integration (#5013)
# Add documentation for Databricks integration

This is a follow-up of https://github.com/hwchase17/langchain/pull/4702
It documents the details of how to integrate Databricks using langchain.
It also provides examples in a notebook.


## Who can review?
@dev2049 @hwchase17 since you are aware of the context. We will promote
the integration after this doc is ready. Thanks in advance!
2023-05-20 22:06:24 -07:00
tornikeo
a6ef20d7fe
Fix annoying typo in docs (#5029)
# Fixes an annoying typo in docs

<!--
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<!-- Remove if not applicable -->

Fixes Annoying typo in docs - "Therefor" -> "Therefore". It's so
annoying to read that I just had to make this PR.
2023-05-20 22:02:21 -07:00
UmerHA
7388248b3e
Streaming only final output of agent (#2483) (#4630)
# Streaming only final output of agent (#2483)
As requested in issue #2483, this Callback allows to stream only the
final output of an agent (ie not the intermediate steps).

Fixes #2483

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-20 09:20:17 -07:00
Davis Chase
3bc0bf0079
fix prompt saving (#4987)
will add unit tests
2023-05-20 08:21:52 -07:00
domchan
6c60251f52
Add self query translator for weaviate vectorstore (#4804)
# Add self query translator for weaviate vectorstore

Adds support for the EQ comparator and the AND/OR operators. 

Co-authored-by: Dominic Chan <dchan@cppib.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-19 16:41:12 -07:00
SimFG
f07b9fde74
Update the GPTCache example (#4985)
# Update the GPTCache example

Fixes #4757
2023-05-19 16:35:36 -07:00
Mike McGarry
ddd595fe81
feature/4493 Improve Evernote Document Loader (#4577)
# Improve Evernote Document Loader

When exporting from Evernote you may export more than one note.
Currently the Evernote loader concatenates the content of all notes in
the export into a single document and only attaches the name of the
export file as metadata on the document.

This change ensures that each note is loaded as an independent document
and all available metadata on the note e.g. author, title, created,
updated are added as metadata on each document.

It also uses an existing optional dependency of `html2text` instead of
`pypandoc` to remove the need to download the pandoc application via
`download_pandoc()` to be able to use the `pypandoc` python bindings.

Fixes #4493 

Co-authored-by: Mike McGarry <mike.mcgarry@finbourne.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-19 14:28:17 -07:00
Gengliang Wang
a87a2524c7
Remove autoreload in examples (#4994)
# Remove autoreload in examples
Remove the `autoreload` in examples since it is not necessary for most
users:
```
%load_ext autoreload,
%autoreload 2
```
2023-05-19 17:35:58 +00:00
Eugene Yurtsev
06e524416c
power bi api wrapper integration tests & bug fix (#4983)
# Powerbi API wrapper bug fix + integration tests

- Bug fix by removing `TYPE_CHECKING` in in utilities/powerbi.py
- Added integration test for power bi api in
utilities/test_powerbi_api.py
- Added integration test for power bi agent in
agent/test_powerbi_agent.py
- Edited .env.examples to help set up power bi related environment
variables
- Updated demo notebook with working code in
docs../examples/powerbi.ipynb - AzureOpenAI -> ChatOpenAI

Notes: 

Chat models (gpt3.5, gpt4) are much more capable than davinci at writing
DAX queries, so that is important to getting the agent to work properly.
Interestingly, gpt3.5-turbo needed the examples=DEFAULT_FEWSHOT_EXAMPLES
to write consistent DAX queries, so gpt4 seems necessary as the smart
llm.

Fixes #4325

## Before submitting

Azure-core and Azure-identity are necessary dependencies

check integration tests with the following:
`pytest tests/integration_tests/utilities/test_powerbi_api.py`
`pytest tests/integration_tests/agent/test_powerbi_agent.py`

You will need a power bi account with a dataset id + table name in order
to test. See .env.examples for details.

## Who can review?
@hwchase17
@vowelparrot

---------

Co-authored-by: aditya-pethe <adityapethe1@gmail.com>
2023-05-19 11:25:52 -04:00
Rahul Rao
13c376345e
Fixed assumptions misspelling (#4961)
Fixed assumptions misspelling in the link mentioned below:-


https://python.langchain.com/en/latest/modules/chains/examples/llm_summarization_checker.html


![image](https://github.com/hwchase17/langchain/assets/16189966/94cf2be0-b3d0-495b-98ad-e1f44331727e)

Fix for Issue:- #4959 

@hwchase17
2023-05-19 10:40:04 -04:00
Gengliang Wang
bf5a3c6dec
Support Databricks in SQLDatabase (#4702)
This PR adds support for Databricks runtime and Databricks SQL by using
[Databricks SQL Connector for
Python](https://docs.databricks.com/dev-tools/python-sql-connector.html).
As a cloud data platform, accessing Databricks requires a URL as follows

`databricks://token:{api_token}@{hostname}?http_path={http_path}&catalog={catalog}&schema={schema}`.

**The URL is **complicated** and it may take users a while to figure it
out**. Since the fields `api_token`/`hostname`/`http_path` fields are
known in the Databricks notebook, I am proposing a new method
`from_databricks` to simplify the connection to Databricks.

## In Databricks Notebook
After changes, Databricks users only need to specify the `catalog` and
`schema` field when using langchain.
<img width="881" alt="image"
src="https://github.com/hwchase17/langchain/assets/1097932/984b4c57-4c2d-489d-b060-5f4918ef2f37">

## In Jupyter Notebook
The method can be used on the local setup as well:
<img width="678" alt="image"
src="https://github.com/hwchase17/langchain/assets/1097932/142e8805-a6ef-4919-b28e-9796ca31ef19">
2023-05-19 00:42:06 -07:00
Harrison Chase
88a3a56c1a
Add Spark SQL support (#4602) (#4956)
# Add Spark SQL support 
* Add Spark SQL support. It can connect to Spark via building a
local/remote SparkSession.
* Include a notebook example

I tried some complicated queries (window function, table joins), and the
tool works well.
Compared to the [Spark Dataframe

agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/spark.html),
this tool is able to generate queries across multiple tables.

---------

# Your PR Title (What it does)

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<!-- Remove if not applicable -->

Fixes # (issue)

## Before submitting

<!-- If you're adding a new integration, include an integration test and
an example notebook showing its use! -->

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

<!-- For a quicker response, figure out the right person to tag with @

        @hwchase17 - project lead

        Tracing / Callbacks
        - @agola11

        Async
        - @agola11

        DataLoaders
        - @eyurtsev

        Models
        - @hwchase17
        - @agola11

        Agents / Tools / Toolkits
        - @vowelparrot
        
        VectorStores / Retrievers / Memory
        - @dev2049
        
 -->

---------

Co-authored-by: Gengliang Wang <gengliang@apache.org>
Co-authored-by: Mike W <62768671+skcoirz@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com>
Co-authored-by: 张城铭 <z@hyperf.io>
Co-authored-by: assert <zhangchengming@kkguan.com>
Co-authored-by: blob42 <spike@w530>
Co-authored-by: Yuekai Zhang <zhangyuekai@foxmail.com>
Co-authored-by: Richard He <he.yucheng@outlook.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com>
Co-authored-by: Alexey Nominas <60900649+Chae4ek@users.noreply.github.com>
Co-authored-by: elBarkey <elbarkey@gmail.com>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Jeffrey D <1289344+verygoodsoftwarenotvirus@users.noreply.github.com>
Co-authored-by: so2liu <yangliu35@outlook.com>
Co-authored-by: Viswanadh Rayavarapu <44315599+vishwa-rn@users.noreply.github.com>
Co-authored-by: Chakib Ben Ziane <contact@blob42.xyz>
Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
Co-authored-by: Daniel Chalef <daniel.chalef@private.org>
Co-authored-by: Jari Bakken <jari.bakken@gmail.com>
Co-authored-by: escafati <scafatieugenio@gmail.com>
2023-05-18 20:53:08 -07:00
Harrison Chase
5feb60f426
Harrison/spell executor (#4914)
Co-authored-by: Jan Minar <rdancer@rdancer.org>
2023-05-18 20:43:33 -07:00
Mike Wang
db6f7ed0ba
[nit] Simplify Spark Creation Validation Check A Little Bit (#4761)
- simplify the validation check a little bit.
- re-tested in jupyter notebook.

Reviewer: @hwchase17
2023-05-18 18:57:54 -07:00
Daniel Chalef
c8c2276ccb
Zep Retriever - Vector Search Over Chat History (#4533)
# Zep Retriever - Vector Search Over Chat History with the Zep Long-term
Memory Service

More on Zep: https://github.com/getzep/zep

Note: This PR is related to and relies on
https://github.com/hwchase17/langchain/pull/4834. I did not want to
modify the `pyproject.toml` file to add the `zep-python` dependency a
second time.

Co-authored-by: Daniel Chalef <daniel.chalef@private.org>
2023-05-18 16:27:18 -07:00
Leonid Ganeline
a9bb3147d7
docs: vectorstores, different updates and fixes (#4939)
# docs: vectorstores, different updates and fixes

Multiple updates:
- added/improved descriptions
- fixed header levels
- added headers
- fixed headers
2023-05-18 15:35:47 -07:00
Viswanadh Rayavarapu
c9f963e295
Update custom_multi_action_agent.ipynb (#4931)
Updated the docs from 
"An agent consists of three parts:" to 
"An agent consists of two parts:" since there are only two parts in the
documentation
2023-05-18 11:53:12 -07:00
so2liu
3002c1d508
fix: error in gptcache example nb (#4930) 2023-05-18 11:49:45 -07:00
Jeffrey D
7e8e21c914
Correct typo in APIChain example notebook (Farenheit -> Fahrenheit) (#4938)
Correct typo in APIChain example notebook (Farenheit -> Fahrenheit)
2023-05-18 11:48:02 -07:00
Leonid Ganeline
c75c0775e1
docs supabase update (#4935)
# docs: updated `Supabase` notebook

- the title of the notebook was inconsistent (included redundant
"Vectorstore"). Removed this "Vectorstore"
- added `Postgress` to the title. It is important. The `Postgres` name
is much more popular than `Supabase`.
- added description for the `Postrgress`
- added more info to the `Supabase` description
2023-05-18 10:42:08 -07:00
Alexey Nominas
c9e2a01875
Update GPT4ALL integration (#4567)
# Update GPT4ALL integration

GPT4ALL have completely changed their bindings. They use a bit odd
implementation that doesn't fit well into base.py and it will probably
be changed again, so it's a temporary solution.

Fixes #3839, #4628
2023-05-18 09:38:54 -07:00
Leonid Ganeline
e2d7677526
docs: compound ecosystem and integrations (#4870)
# Docs: compound ecosystem and integrations

**Problem statement:** We have a big overlap between the
References/Integrations and Ecosystem/LongChain Ecosystem pages. It
confuses users. It creates a situation when new integration is added
only on one of these pages, which creates even more confusion.
- removed References/Integrations page (but move all its information
into the individual integration pages - in the next PR).
- renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations.
I like the Ecosystem term. It is more generic and semantically richer
than the Integration term. But it mentally overloads users. The
`integration` term is more concrete.
UPDATE: after discussion, the Ecosystem is the term.
Ecosystem/Integrations is the page (in place of Ecosystem/LongChain
Ecosystem).

As a result, a user gets a single place to start with the individual
integration.
2023-05-18 09:29:57 -07:00