865 Commits (7232e082dea2d7d295349abd9942958dcb65645f)

Author	SHA1	Message	Date
Harrison Chase	9bf5b0defa	Harrison/myscale self query (#6376) ... Co-authored-by: Fangrui Liu <fangruil@moqi.ai> Co-authored-by: 刘 方瑞 <fangrui.liu@outlook.com> Co-authored-by: Fangrui.Liu <fangrui.liu@ubc.ca>	1 year ago
Harrison Chase	bd8d418a95	Merge branch 'master' of github.com:hwchase17/langchain	1 year ago
Harrison Chase	3a75d59c3d	searx - docs	1 year ago
Harrison Chase	a8cb9ee013	Harrison/gdrive enhancements (#6375) ... Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io>	1 year ago
Lance Martin	370becdfc2	Add self query retriever example with MD header splitting (#6359) ... Flesh out the notebook example for `MarkdownHeaderTextSplitter`	1 year ago
Lance Martin	2c97fbabbd	Update MD header text splitter notebook (#6339) ... Highlight use case for maintaining header groups when splitting.	1 year ago
Harrison Chase	a2bbe3dda4	Harrison/mmr support for opensearch (#6349) ... Co-authored-by: Mehmet Öner Yalçın <oneryalcin@gmail.com>	1 year ago
Harrison Chase	680d6bbbf8	fix titles in documentation	1 year ago
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>	1 year ago
Francisco Ingham	83eea230f3	changed height in the nb example (#6327) ... changed height in the example to a more reasonable number (from 9 feet to 6 feet)	1 year ago
Harrison Chase	af18413d97	Harrison/deeplake new features (#6263) ... Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	6640293087	fix eval guide links (#6319)	1 year ago
ljeagle	ad324a39ae	Improve the performance of add_texts interface and upgrade the AwaDB from 0.3.2 to 0.3.3 (#6316) ... 1. Changed the implementation of add_texts interface for the AwaDB vector store in order to improve the performance 2. Upgrade the AwaDB from 0.3.2 to 0.3.3 --------- Co-authored-by: vincent <awadb.vincent@gmail.com>	1 year ago
Davis Chase	24b2af5218	nit (#6305)	1 year ago
Davis Chase	87e502c6bc	Doc refactor (#6300) ... Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago