Issue: The `graph` code was moved into the `community` package a long
ago. But the related documentation is still in the
[use_cases](https://python.langchain.com/docs/use_cases/graph/integrations/diffbot_graphtransformer)
section and not in the `integrations`.
Changes:
- moved the `use_cases/graph/integrations` notebooks into the
`integrations/graphs`
- renamed files and changed titles to follow the consistent format
- redirected old page URLs to new URLs in `vercel.json` and in several
other pages
- added descriptions and links when necessary
- formatted into the consistent format
Should hopefully avoid weird broken link edge cases.
Relative links now trip up the Docusaurus broken link checker, so this
PR also removes them.
Also snuck in a small addition about asyncio
- **Description**: `bigdl-llm` library has been renamed to
[`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR
migrates the `bigdl-llm` integration to `ipex-llm` .
- **Issue**: N/A. The original PR of `bigdl-llm` is
https://github.com/langchain-ai/langchain/pull/17953
- **Dependencies**: `ipex-llm` library
- **Contribution maintainer**: @shane-huang
Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb
Updated test:
libs/community/tests/integration_tests/llms/test_ipex_llm.py
Introduction
[Intel® Extension for
Transformers](https://github.com/intel/intel-extension-for-transformers)
is an innovative toolkit designed to accelerate GenAI/LLM everywhere
with the optimal performance of Transformer-based models on various
Intel platforms
Description
adding ITREX runtime embeddings using intel-extension-for-transformers.
added mdx documentation and example notebooks
added embedding import testing.
---------
Signed-off-by: yuwenzho <yuwen.zhou@intel.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Created the `facebook` page from `facebook_faiss` and `facebook_chat`
pages. Added another Facebook integrations into this page.
Updated `discord` page.
**Description:** This PR introduces a new "Astra DB" Partner Package.
So far only the vector store class is _duplicated_ there, all others
following once this is validated and established.
Along with the move to separate package, incidentally, the class name
will change `AstraDB` => `AstraDBVectorStore`.
The strategy has been to duplicate the module (with prospected removal
from community at LangChain 0.2). Until then, the code will be kept in
sync with minimal, known differences (there is a makefile target to
automate drift control. Out of convenience with this check, the
community package has a class `AstraDBVectorStore` aliased to `AstraDB`
at the end of the module).
With this PR several bugfixes and improvement come to the vector store,
as well as a reshuffling of the doc pages/notebooks (Astra and
Cassandra) to align with the move to a separate package.
**Dependencies:** A brand new pyproject.toml in the new package, no
changes otherwise.
**Twitter handle:** `@rsprrs`
---------
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Several notebooks have Title != file name. That results in corrupted
sorting in Navbar (ToC).
- Fixed titles and file names.
- Changed text formats to the consistent form
- Redirected renamed files in the `Vercel.json`
<!-- Thank you for contributing to LangChain!
Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes if applicable,
- **Dependencies:** any dependencies required for this change,
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` from the root
of the package you've modified to check this locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc: https://python.langchain.com/docs/contributing/
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.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
`integrations/document_loaders/` `Excel` and `OneNote` pages in the
navbar were in the wrong sort order. It is because the file names are
not equal to the page titles.
- renamed `excel` and `onenote` file names
- updated `Tencent` provider page: added a chat model and document
loader references; company description
- updated Chat model and Document loader pages with descriptions, links
- renamed files to consistent formats; redirected file names
Note:
I was getting this linting error on code that **was not changed in my
PR**!
> Error:
docs/docs/guides/safety/hugging_face_prompt_injection.ipynb:1:1: I001
Import block is un-sorted or un-formatted
> make: *** [Makefile:47: lint_package] Error 1
I've fixed this error in the notebook
The `/docs/integrations/toolkits/vectorstore` page is not the
Integration page. The best place is in `/docs/modules/agents/how_to/`
- Moved the file
- Rerouted the page URL
The `AWS` platform page has many missed integrations.
- added missed integration references to the `AWS` platform page
- added/updated descriptions and links in the referenced notebooks
- renamed two notebook files. They have file names != page Title, which
generate unordered ToC.
- reroute the URLs for renamed files
- fixed `amazon_textract` notebook: removed failed cell outputs
`Hugging Face` is definitely a platform. It includes many integrations
for many modules (LLM, Embedding, DocumentLoader, Tool)
So, a doc page was added that defines Hugging Face as a platform.
The `integrations/vectorstores/matchingengine.ipynb` example has the
"Google Vertex AI Vector Search" title. This place this Title in the
wrong order in the ToC (it is sorted by the file name).
- Renamed `integrations/vectorstores/matchingengine.ipynb` into
`integrations/vectorstores/google_vertex_ai_vector_search.ipynb`.
- Updated a correspondent comment in docstring
- Rerouted old URL to a new URL
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Current docs for adapters are in the `Guides/Adapters which is not a
good place.
- moved Adapters into `Integratons/Components/Adapters/
- simplified the OpenAI adapter notebook
- rerouted the old OpenAI adapter page URL to a new one.
The original notebook has the `faiss` title which is duplicated in
the`faiss.jpynb`. As a result, we have two `faiss` items in the
vectorstore ToC. And the first item breaks the searching order (it is
placed between `A...` items).
- I updated title to `Asynchronous Faiss`.
- the `SemaDB` notebook was placed in additional subfolder which breaks
the vectorstore ToC. I moved file up, removed this unnecessary
subfolder; updated the `vercel.json` with rerouting for the new URL
- Added SemaDB description and link
- improved text consistency
# Astra DB Vector store integration
- **Description:** This PR adds a `VectorStore` implementation for
DataStax Astra DB using its HTTP API
- **Issue:** (no related issue)
- **Dependencies:** A new required dependency is `astrapy` (`>=0.5.3`)
which was added to pyptoject.toml, optional, as per guidelines
- **Tag maintainer:** I recently mentioned to @baskaryan this
integration was coming
- **Twitter handle:** `@rsprrs` if you want to mention me
This PR introduces the `AstraDB` vector store class, extensive
integration test coverage, a reworking of the documentation which
conflates Cassandra and Astra DB on a single "provider" page and a new,
completely reworked vector-store example notebook (common to the
Cassandra store, since parts of the flow is shared by the two APIs). I
also took care in ensuring docs (and redirects therein) are behaving
correctly.
All style, linting, typechecks and tests pass as far as the `AstraDB`
integration is concerned.
I could build the documentation and check it all right (but ran into
trouble with the `api_docs_build` makefile target which I could not
verify: `Error: Unable to import module
'plan_and_execute.agent_executor' with error: No module named
'langchain_experimental'` was the first of many similar errors)
Thank you for a review!
Stefano
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
- Move Document AI provider to the Google provider page
- Change Vertex AI Matching Engine to Vector Search
- Change references from GCP to Google Cloud
- Add Gmail chat loader to Google provider page
- Change Serper page title to "Serper - Google Search API" since it is
not a Google product.
