Commit Graph

17 Commits

Author SHA1 Message Date
Jason Fan
8effd90be0
Add new types of document transformers (#7379)
- Description: Add two new document transformers that translates
documents into different languages and converts documents into q&a
format to improve vector search results. Uses OpenAI function calling
via the [doctran](https://github.com/psychic-api/doctran/tree/main)
library.
  - Issue: N/A
  - Dependencies: `doctran = "^0.0.5"`
  - Tag maintainer: @rlancemartin @eyurtsev @hwchase17 
  - Twitter handle: @psychicapi or @jfan001

Notes
- Adheres to the `DocumentTransformer` abstraction set by @dev2049 in
#3182
- refactored `EmbeddingsRedundantFilter` to put it in a file under a new
`document_transformers` module
- Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as
well as the existing `EmbeddingsRedundantFilter`

---------

Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-12 23:53:30 -04:00
Nuno Campos
81e5b1ad36
Add serialized object to retriever start callback (#7074)
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2023-07-05 18:04:43 +01:00
Bagatur
7acd524210
Rm retriever kwargs (#7013)
Doesn't actually limit the Retriever interface but hopefully in practice
it does
2023-07-02 08:22:24 -06:00
Saba Sturua
427551eabf
DocArray as a Retriever (#6031)
## DocArray as a Retriever

[DocArray](https://github.com/docarray/docarray) is an open-source tool
for managing your multi-modal data. It offers flexibility to store and
search through your data using various document index backends. This PR
introduces `DocArrayRetriever` - which works with any available backend
and serves as a retriever for Langchain apps.

Also, I added 2 notebooks:
DocArray Backends - intro to all 5 currently supported backends, how to
initialize, index, and use them as a retriever
DocArray Usage - showcasing what additional search parameters you can
pass to create versatile retrievers

Example:
```python
from docarray.index import InMemoryExactNNIndex
from docarray import BaseDoc, DocList
from docarray.typing import NdArray
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.retrievers import DocArrayRetriever


# define document schema
class MyDoc(BaseDoc):
    description: str
    description_embedding: NdArray[1536]


embeddings = OpenAIEmbeddings()
# create documents
descriptions = ["description 1", "description 2"]
desc_embeddings = embeddings.embed_documents(texts=descriptions)
docs = DocList[MyDoc](
    [
        MyDoc(description=desc, description_embedding=embedding)
        for desc, embedding in zip(descriptions, desc_embeddings)
    ]
)

# initialize document index with data
db = InMemoryExactNNIndex[MyDoc](docs)

# create a retriever
retriever = DocArrayRetriever(
    index=db,
    embeddings=embeddings,
    search_field="description_embedding",
    content_field="description",
)

# find the relevant document
doc = retriever.get_relevant_documents("action movies")
print(doc)
```

#### Who can review?

@dev2049

---------

Signed-off-by: jupyterjazz <saba.sturua@jina.ai>
2023-06-17 09:09:33 -07:00
German Martin
736a1819aa
LOTR: Lord of the Retrievers. A retriever that merge several retrievers together applying document_formatters to them. (#5798)
"One Retriever to merge them all, One Retriever to expose them, One
Retriever to bring them all and in and process them with Document
formatters."

Hi @dev2049! Here bothering people again!

I'm using this simple idea to deal with merging the output of several
retrievers into one.
I'm aware of DocumentCompressorPipeline and
ContextualCompressionRetriever but I don't think they allow us to do
something like this. Also I was getting in trouble to get the pipeline
working too. Please correct me if i'm wrong.

This allow to do some sort of "retrieval" preprocessing and then using
the retrieval with the curated results anywhere you could use a
retriever.
My use case is to generate diff indexes with diff embeddings and sources
for a more colorful results then filtering them with one or many
document formatters.

I saw some people looking for something like this, here:
https://github.com/hwchase17/langchain/issues/3991
and something similar here:
https://github.com/hwchase17/langchain/issues/5555

This is just a proposal I know I'm missing tests , etc. If you think
this is a worth it idea I can work on tests and anything you want to
change.
Let me know!

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-10 08:41:02 -07:00
Harrison Chase
ad09367a92
Harrison/pubmed integration (#5664)
Co-authored-by: younis basher <71520361+younis-ba@users.noreply.github.com>
Co-authored-by: Younis Bashir <younis@omicmd.com>
2023-06-03 16:25:28 -07:00
Davis Chase
2b2176a3c1
tfidf retriever (#5114)
Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>
2023-05-24 10:02:09 -07:00
yujiosaka
2f8eb95a91
Remove unnecessary comment (#4845)
# Remove unnecessary comment

Remove unnecessary comment accidentally included in #4800

## Before submitting

- no test
- no document

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
2023-05-17 11:53:03 -04:00
yujiosaka
6561efebb7
Accept uuids kwargs for weaviate (#4800)
# Accept uuids kwargs for weaviate

Fixes #4791
2023-05-16 15:26:46 -07:00
Leonid Ganeline
e17d0319d5
Add arxiv retriever (#4538) 2023-05-11 22:48:38 -07:00
Davis Chase
9ec60ad832
Add azure cognitive search retriever (#4467)
All credit to @UmerHA, made a couple small changes

---------

Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com>
2023-05-10 15:27:27 -07:00
Leonid Ganeline
ce15ffae6a
added Wikipedia retriever (#4302)
- added `Wikipedia` retriever. It is effectively a wrapper for
`WikipediaAPIWrapper`. It wrapps load() into get_relevant_documents()
- sorted `__all__` in the `retrievers/__init__`
- added integration tests for the WikipediaRetriever
- added an example (as Jupyter notebook) for the WikipediaRetriever
2023-05-09 10:08:39 -07:00
Zander Chase
84cfa76e00
Update Cohere Reranker (#4180)
The forward ref annotations don't get updated if we only iimport with
type checking

---------

Co-authored-by: Abhinav Verma <abhinav_win12@yahoo.co.in>
2023-05-05 09:11:37 -07:00
Mike Wang
ce4fea983b
[simple] added test case and improve self class return type annotation (#3773)
a simple follow up of https://github.com/hwchase17/langchain/pull/3748
- added test case
- improve annotation when function return type is class itself.
2023-04-28 21:54:07 -07:00
Harrison Chase
7257f9e015
Harrison/tfidf parameters (#3481)
Co-authored-by: pao <go5kuramubon@gmail.com>
Co-authored-by: KyoHattori <kyo.hattori@abejainc.com>
2023-04-24 22:19:58 -07:00
Harrison Chase
408a0183cd
Harrison/weaviate (#3494)
Co-authored-by: Nick Rubell <nick@rubell.com>
2023-04-24 22:15:32 -07:00
Davis Chase
46542dc774
Contextual compression retriever (#2915)
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-04-20 17:01:14 -07:00