id stringlengths 14 16 | text stringlengths 29 2.73k | source stringlengths 49 117 |
|---|---|---|
e45651d29ca9-7 | location=":memory:",
collection_name="my_documents_2",
content_payload_key="my_page_content_key",
metadata_payload_key="my_meta",
)
<langchain.vectorstores.qdrant.Qdrant at 0x7fc4e2baa230>
previous
Pinecone
next
Redis
Contents
Connecting to Qdrant from LangChain
Local mode
In-memory
On-disk storage
On-p... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html |
b903f77e29f3-0 | .ipynb
.pdf
Milvus
Milvus#
Milvus is a database that stores, indexes, and manages massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
This notebook shows how to use functionality related to the Milvus vector database.
To run, you should have a Milvus instance up and runni... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/milvus.html |
b903f77e29f3-1 | docs = vector_db.similarity_search(query)
docs[0].page_content
'Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicate... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/milvus.html |
26ebcf8bea91-0 | .ipynb
.pdf
Chroma
Contents
Similarity search with score
Persistance
Initialize PeristedChromaDB
Persist the Database
Load the Database from disk, and create the chain
Retriever options
MMR
Updating a Document
Chroma#
Chroma is a database for building AI applications with embeddings.
This notebook shows how to use fu... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html |
26ebcf8bea91-1 | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html |
26ebcf8bea91-2 | The below steps cover how to persist a ChromaDB instance
Initialize PeristedChromaDB#
Create embeddings for each chunk and insert into the Chroma vector database. The persist_directory argument tells ChromaDB where to store the database when it’s persisted.
# Embed and store the texts
# Supplying a persist_directory wi... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html |
26ebcf8bea91-3 | retriever.get_relevant_documents(query)[0]
Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedica... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html |
26ebcf8bea91-4 | ids=[document_id],
)
At this point, we have a new Chroma instance with a single document “This is an initial document content” with id “doc1”. Now, let’s update the content of the document.
# Updated document content
updated_content = "This is the updated document content"
# Create a new Document instance with the upda... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html |
b33326c1eebe-0 | .ipynb
.pdf
Deep Lake
Contents
Retrieval Question/Answering
Attribute based filtering in metadata
Choosing distance function
Maximal Marginal relevance
Delete dataset
Deep Lake datasets on cloud (Activeloop, AWS, GCS, etc.) or in memory
Creating dataset on AWS S3
Deep Lake API
Transfer local dataset to cloud
Deep Lak... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-1 | docs = text_splitter.split_documents(documents)
embeddings = OpenAIEmbeddings()
Create a dataset locally at ./deeplake/, then run similiarity search. The Deeplake+LangChain integration uses Deep Lake datasets under the hood, so dataset and vector store are used interchangeably. To create a dataset in your own cloud, or... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-2 | text text (42, 1) str None
print(docs[0].page_content)
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections.
Tonight, I’d like to honor someone who has... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-3 | text text (42, 1) str None
Deep Lake, for now, is single writer and multiple reader. Setting read_only=True helps to avoid acquring the writer lock.
Retrieval Question/Answering#
from langchain.chains import RetrievalQA
from langchain.llms import OpenAIChat
qa = RetrievalQA.from_chain_type(llm=Open... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-4 | tensor htype shape dtype compression
------- ------- ------- ------- -------
embedding generic (4, 1536) float32 None
ids text (4, 1) str None
metadata json (4, 1) str None
text text (4, 1) str None
db.similarity_search... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-5 | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-6 | [Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-7 | Document(page_content='A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to former judges appointed by... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-8 | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-9 | Document(page_content='Tonight, I’m announcing a crackdown on these companies overcharging American businesses and consumers. \n\nAnd as Wall Street firms take over more nursing homes, quality in those homes has gone down and costs have gone up. \n\nThat ends on my watch. \n\nMedicare is going to set higher standards ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-10 | [Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-11 | Document(page_content='Tonight, I’m announcing a crackdown on these companies overcharging American businesses and consumers. \n\nAnd as Wall Street firms take over more nursing homes, quality in those homes has gone down and costs have gone up. \n\nThat ends on my watch. \n\nMedicare is going to set higher standards ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-12 | Document(page_content='A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to former judges appointed by... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-13 | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-14 | username = "<username>" # your username on app.activeloop.ai
dataset_path = f"hub://{username}/langchain_test" # could be also ./local/path (much faster locally), s3://bucket/path/to/dataset, gcs://path/to/dataset, etc.
embedding = OpenAIEmbeddings()
db = DeepLake(dataset_path=dataset_path, embedding_function=embedd... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-15 | 'd6d6ccb7-e187-11ed-b66d-41c5f7b85421']
query = "What did the president say about Ketanji Brown Jackson"
docs = db.similarity_search(query)
print(docs[0].page_content)
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-16 | })
s3://hub-2.0-datasets-n/langchain_test loaded successfully.
Evaluating ingest: 100%|██████████| 1/1 [00:10<00:00
\
Dataset(path='s3://hub-2.0-datasets-n/langchain_test', tensors=['embedding', 'ids', 'metadata', 'text'])
tensor htype shape dtype compression
------- ------- ------- ------- ----... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-17 | username = "davitbun" # your username on app.activeloop.ai
source = f"hub://{username}/langchain_test" # could be local, s3, gcs, etc.
destination = f"hub://{username}/langchain_test_copy" # could be local, s3, gcs, etc.
deeplake.deepcopy(src=source, dest=destination, overwrite=True)
Copying dataset: 100%|██████████... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
b33326c1eebe-18 | metadata json (4, 1) str None
text text (4, 1) str None
Evaluating ingest: 100%|██████████| 1/1 [00:31<00:00
-
Dataset(path='hub://davitbun/langchain_test_copy', tensors=['embedding', 'ids', 'metadata', 'text'])
tensor htype shape dtype compression
------- -... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html |
dae3867fa84b-0 | .ipynb
.pdf
Weaviate
Contents
Weaviate
Similarity search with score
Persistance
Retriever options
Retriever options
MMR
Question Answering with Sources
Weaviate#
Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly int... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-1 | Requirement already satisfied: charset-normalizer<4,>=2 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from requests<2.29.0,>=2.28.0->weaviate-client) (3.1.0)
Requirement already satisfied: idna<4,>=2.5 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from requests<2.29.0,>=2.28.0->weaviate-clie... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-2 | Requirement already satisfied: pycparser in /workspaces/langchain/.venv/lib/python3.9/site-packages (from cffi>=1.12->cryptography>=3.2->authlib>=1.1.0->weaviate-client) (2.21)
We want to use OpenAIEmbeddings so we have to get the OpenAI API Key.
import os
import getpass
os.environ["OPENAI_API_KEY"] = getpass.getpass("... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-3 | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-4 | (Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-5 | 0.0080104275, -0.0010217049, -0.022327352, -0.0055002323, 0.018958665, 0.0020548347, -0.0044393567, -0.021609223, -0.013709779, -0.004543812, 0.025722157, 0.01821442, 0.031728342, -0.031388864, -0.01051083, -0.029978717, 0.011555385, 0.0009751897, 0.014675993, -0.02102166, 0.0301354, -0.031754456, 0.013526983, -0.03392... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-6 | -0.0063293483, -0.01081114, -0.0084282495, 0.003025944, -0.010210521, 0.008780787, 0.014793505, -0.006486031, 0.011966679, 0.01774437, -0.006985459, -0.015459408, 0.01625588, -0.016007798, 0.01706541, 0.035567082, 0.0029900377, 0.021543937, -0.0068483613, 0.040868197, -0.010909067, -0.03339963, 0.010954766, -0.01468904... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-7 | -0.0318328, -0.0094989175, -0.00897664, 0.004736402, 0.0046482678, 0.0023241339, -0.005826656, 0.0072531262, 0.015498579, -0.0077819317, -0.011953622, -0.028934162, -0.033974137, -0.01574666, 0.0086306315, -0.029299757, 0.030213742, -0.0033148287, 0.013448641, -0.013474754, 0.015851116, 0.0076578907, -0.037421167, -0.0... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-8 | -0.007559964, -0.01991182, -0.005268472, -0.008650217, -0.008702445, 0.027550127, 0.0018296026, 0.0018589807, -0.033295177, 0.0036265631, -0.0060290387, 0.014349569, 0.019898765, 0.00023339267, 0.0034568228, -0.018958665, 0.012031963, 0.005186866, 0.020747464, -0.03817847, 0.028202975, -0.01340947, 0.00091643346, 0.014... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-9 | 0.013892576, -0.019977106, 0.029952602, 0.0012004217, -0.015211326, -0.008708973, -0.017809656, 0.008578404, -0.01612531, 0.022614606, -0.022327352, -0.032616217, 0.0050693536, -0.020629952, -0.01357921, 0.011477043, 0.0013938275, -0.0052390937, 0.0142581705, -0.013200559, 0.013252786, -0.033582427, 0.030579336, -0.011... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-10 | 0.016020855, -0.00067284, 0.013461698, -0.0065904865, -0.017809656, -0.014741276, 0.016582303, -0.0088526, 0.0046482678, 0.037473395, -0.02237958, 0.010112594, 0.022549322, 9.680491e-05, -0.0059082615, 0.020747464, -0.026923396, 0.01162067, -0.0074816225, 0.00024277734, 0.011842638, 0.016921783, -0.019285088, 0.0055655... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-11 | 0.02318911, -0.031754456, -0.018188305, -0.031441092, -0.030579336, 0.0011832844, 0.0065023527, -0.027053965, 0.009198609, 0.022079272, -0.027785152, 0.005846241, 0.013500868, 0.016699815, 0.010445545, -0.025265165, -0.004396922, 0.0076774764, 0.014597651, -0.009851455, -0.03637661, 0.0004745379, -0.010112594, -0.00920... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-12 | 0.0027974476, -0.009577259, -0.023815846, 0.024847344, 0.014675993, -0.019454828, -0.013670608, 0.011059221, -0.005438212, 0.0406854, 0.0006218364, -0.024494806, -0.041259903, 0.022013986, -0.0040019494, -0.0052097156, 0.015798887, 0.016190596, 0.0003794671, -0.017444061, 0.012325744, 0.024769, 0.029482553, -0.00465479... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-13 | -0.008715502, 0.006776548, 0.01825359, -0.014480138, -0.014427911, -0.017600743, -0.030004831, 0.0145845935, 0.013762007, -0.013226673, 0.004168425, 0.0047951583, -0.026923396, 0.014675993, 0.0055851024, 0.015616091, -0.012306159, 0.007670948, 0.038439605, -0.015759716, 0.00016178355, 0.01076544, -0.008232395, -0.00994... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-14 | 0.030527107, -0.0003027576, 0.025082368, 0.0405026, 0.03867463, 0.0014117807, -0.024076983, 0.003933401, -0.009812284, 0.00829768, -0.0074293944, 0.0061530797, -0.016647588, -0.008147526, -0.015629148, 0.02055161, 0.000504324, 0.03157166, 0.010112594, -0.009009283, 0.026557801, -0.013997031, -0.0071878415, 0.009414048,... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-15 | -0.0030226798, -0.00074261305, 0.030892702, -0.026218321, 0.0062803845, -0.018031623, -0.021504767, -0.012834964, 0.009009283, -0.0029198565, -0.014349569, -0.020434098, 0.009838398, -0.005993132, -0.013618381, -0.031597774, -0.019206747, 0.00086583785, 0.15835446, 0.033765227, 0.00893747, 0.015119928, -0.019128405, 0.... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-16 | -0.004073763, 0.0032544404, -0.0025983294, -0.020943318, 0.019650683, -0.0074424515, -0.0030977572, 0.0073379963, -0.00012455089, 0.010230106, -0.0007254758, -0.0025052987, -0.009681715, 0.03439196, -0.035123147, -0.0028806855, 0.012828437, 0.00018646932, 0.0066133365, 0.025539361, -0.00055736775, -0.025356563, -0.0045... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-17 | 0.011333417, -0.011548856, -0.0059049972, -0.025186824, 0.0069789304, -0.010993936, -0.0009066408, 0.0002619547, 0.01727432, -0.008082241, -0.018645298, 0.024507863, 0.0030895968, -0.0014656406, 0.011137563, -0.025513247, -0.022967143, -0.002033617, 0.006887532, 0.016621474, -0.019337315, -0.0030618508, 0.0014697209, -... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-18 | 0.005947433, 0.020799693, 0.014702106, 0.03272067, 0.026701428, -0.015550806, -0.036193814, -0.021126116, -0.005412098, -0.013076518, 0.027080078, 0.012900249, -0.0073379963, -0.015119928, -0.019781252, 0.0062346854, -0.03266844, 0.025278222, -0.022797402, -0.0028415148, 0.021452539, -0.023162996, 0.005170545, -0.02231... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-19 | -0.01357921, -0.01110492, -0.014845733, -0.035384286, -0.02550019, 0.008154054, -0.0058331843, -0.008702445, -0.007311882, -0.006525202, 0.03817847, 0.00372449, 0.022914914, -0.0018981516, 0.031545546, -0.01051083, 0.013801178, -0.006296706, -0.00025052988, -0.01795328, -0.026296662, 0.0017659501, 0.021883417, 0.002893... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-20 | 0.02277129, -0.006972402, -0.029769806, 0.034862008, 0.01217559, -0.0037179615, 0.0008666539, 0.008924413, -0.026296662, -0.012678281, 0.014480138, 0.020734407, -0.012103776, -0.037499506, 0.022131499, 0.015028529, -0.033843566, 0.00020187242, 0.002650557, -0.0015113399, 0.021570051, -0.008284623, -0.003793039, -0.0134... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-21 | -0.002678303, -0.0047984226, -0.012182118, -0.001512972, 0.013931747, -0.009642544, 0.012652168, -0.012932892, -0.027759038, -0.01085031, 0.0050236546, -0.009675186, -0.00893747, -0.0051770736, 0.036011018, 0.003528636, -0.001008648, -0.015811944, -0.008865656, 0.012364916, 0.016621474, -0.01340947, 0.03219839, 0.03295... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-22 | -0.025095424, -0.010621814, 0.013207087, 0.013944804, -0.0070899143, -0.022183727, -0.0028088724, -0.011424815, 0.026087752, -0.0058625625, -0.020186016, -0.010217049, 0.015315781, -0.012580355, 0.01374895, 0.004948577, -0.0021854038, 0.023215225, 0.00207442, 0.029639237, 0.01391869, -0.015811944, -0.005356606, -0.0223... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-23 | -0.013957861, 0.0049094064, 0.033556316, 0.005167281, 0.0176138, 0.014140658, -0.0043708077, -0.0095446175, 0.012952477, 0.007853745, -0.01034109, 0.01804468, 0.0038322096, -0.04959023, 0.0023078127, 0.0053794556, -0.015106871, -0.03225062, -0.010073422, 0.007285768, 0.0056079524, -0.009002754, -0.014362626, 0.01090906... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-24 | -0.0006761042, -0.029038617, 0.004367544, -0.012293102, 0.0017528932, -0.023358852, 0.02217067, 0.012606468, -0.008160583, -0.0104912445, -0.0034894652, 0.011078807, 0.00050922035, 0.015759716, 0.23774062, -0.0019291617, 0.006218364, 0.013762007, -0.029900376, 0.018188305, 0.0092965355, 0.0040574414, -0.014976301, -0.0... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-25 | -0.013879519, 0.0011849166, -0.0016925049, 0.009753528, 0.008349908, -0.008245452, 0.033007924, -0.0035873922, -0.025461018, 0.016791213, 0.05410793, -0.005950697, -0.011672897, -0.0072335405, 0.013814235, -0.0593307, -0.008624103, 0.021400312, 0.034235276, 0.015642203, -0.020068504, 0.03136275, 0.012567298, -0.0104194... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-26 | -0.03219839, 0.0058233915, -0.0056405943, -0.009381405, 0.0064044255, 0.013905633, -0.011228961, -0.0013481282, -0.014023146, 0.00016239559, -0.0051901303, 0.0025265163, 0.023619989, -0.021517823, 0.024703717, -0.025643816, 0.040189236, 0.016295051, -0.0040411204, -0.0113595305, 0.0029981981, -0.015589978, 0.026479458,... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-27 | -0.0036200345, -0.021596165, -0.003949722, -0.0006034751, 0.007305354, -0.023424136, 0.004834329, -0.008833014, -0.013435584, 0.0026097542, -0.0012240873, -0.0028349862, -0.01706541, 0.027863493, -0.026414175, -0.011783881, 0.014075373, -0.005634066, -0.006313027, -0.004638475, -0.012495484, 0.022836573, -0.022719061, ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-28 | -0.0024840813, -0.022444865, 0.0055687814, 0.0037767177, 0.0033915383, 0.0301354, -0.012227817, 0.0021854038, -0.042878963, 0.021517823, -0.010419431, -0.0051183174, 0.01659536, 0.0017333078, -0.00727924, -0.0020026069, -0.0012493852, 0.031441092, 0.0017431005, 0.008702445, -0.0072335405, -0.020081561, -0.012423672, -0... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-29 | 0.004971427, -0.017835768, 0.025017083, -0.021792019, 0.013657551, -0.01872364, 0.009100681, -0.0079582, -0.011640254, -0.01093518, -0.0147543335, -0.005000805, 0.02345025, -0.028908048, 0.0104912445, -0.00753385, 0.017561574, -0.012025435, 0.042670052, -0.0041978033, 0.0013056932, -0.009263893, -0.010941708, -0.004471... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-30 | 0.027706811, 0.03047488, 0.02047327, 0.0019258976, -0.0068940604, -0.0014990991, 0.013305014, -0.007690533, 0.058808424, -0.0016859764, -0.0044622063, -0.0037734534, 0.01578583, -0.0018459238, -0.1196015, -0.0007075225, 0.0030341048, 0.012306159, -0.0068483613, 0.01851473, 0.015315781, 0.031388864, -0.015563863, 0.0477... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-31 | -0.013814235, -0.0004365912, -0.023606932, -0.020186016, 0.025330449, -0.00991674, -0.0048278007, -0.019350372, 0.015433294, -0.0056144805, -0.0034927295, -0.00043455104, 0.008611047, 0.025748271, 0.022353467, -0.020747464, -0.015759716, 0.029038617, -0.000377631, -0.028725252, 0.018109964, -0.0016125311, -0.022719061,... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-32 | -0.03230285, 0.023646105, 0.0111114485, -0.015172156, 0.0257091, 0.0045699263, -0.00919208, 0.021517823, 0.037838988, 0.00787333, -0.007755818, -0.028281316, 0.011170205, -0.005412098, -0.016321165, 0.009929797, 0.004609097, -0.03047488, 0.002688096, -0.07264877, 0.024455635, -0.020930262, -0.015381066, -0.0033148287, ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-33 | -0.002087477, 0.010791554, 0.022288183, 0.0048604426, -0.032590102, 0.013709779, 0.004922463, 0.020055447, -0.0150677, -0.0057222005, -0.036246043, 0.0021364405, 0.021387255, -0.013435584, 0.010732798, 0.0075534354, -0.00061612396, -0.002018928, -0.004432828, -0.032746784, 0.025513247, -0.0025852725, 0.014467081, -0.00... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-34 | -0.018540842, 0.0025722156, 0.0110331075, -0.003992157, 0.020930262, 0.008487006, 0.0016557822, -0.0009882465, 0.0062640635, -0.016242823, -0.0007785196, -0.0007213955, 0.018971723, 0.021687564, 0.0039464575, -0.01574666, 0.011783881, -0.0019797573, -0.013383356, -0.002706049, 0.0037734534, 0.020394927, -0.00021931567,... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-35 | 0.007135614, -0.0113595305, -0.04387129, 0.016308108, -0.008186696, -0.013370299, -0.014297341, 0.017431004, -0.022666834, 0.039458048, 0.0032005806, -0.02081275, 0.008526176, -0.0019307939, 0.024024757, 0.009068039, 0.00953156, 0.010608757, 0.013801178, 0.035932675, -0.015185213, -0.0038322096, -0.012462842, -0.036559... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-36 | -0.01472822, -0.025735214, -0.03313849, 0.0033817457, 0.028855821, -0.016033912, 0.0050791465, -0.01808385]}, 'source': '../../../state_of_the_union.txt'}), | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-37 | 0.8154189703772676)
Persistance#
Anything uploaded to weaviate is automatically persistent into the database. You do not need to call any specific method or pass any param for this to happen.
Retriever options#
Retriever options#
This section goes over different options for how to use Weaviate as a retriever.
MMR#
In a... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
dae3867fa84b-38 | from langchain.chains import RetrievalQAWithSourcesChain
from langchain import OpenAI
with open("../../../state_of_the_union.txt") as f:
state_of_the_union = f.read()
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
texts = text_splitter.split_text(state_of_the_union)
docsearch = Weaviate.fro... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html |
8f05a5a9beff-0 | .ipynb
.pdf
OpenSearch
Contents
Installation
similarity_search using Approximate k-NN
similarity_search using Script Scoring
similarity_search using Painless Scripting
Using a preexisting OpenSearch instance
OpenSearch#
OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytic... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/opensearch.html |
8f05a5a9beff-1 | embeddings = OpenAIEmbeddings()
similarity_search using Approximate k-NN#
similarity_search using Approximate k-NN Search with Custom Parameters
docsearch = OpenSearchVectorSearch.from_documents(
docs,
embeddings,
opensearch_url="http://localhost:9200"
)
# If using the default Docker installation, use thi... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/opensearch.html |
8f05a5a9beff-2 | print(docs[0].page_content)
similarity_search using Painless Scripting#
similarity_search using Painless Scripting with Custom Parameters
docsearch = OpenSearchVectorSearch.from_documents(docs, embeddings, opensearch_url="http://localhost:9200", is_appx_search=False)
filter = {"bool": {"filter": {"term": {"text": "smug... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/opensearch.html |
ad7cf5338339-0 | .ipynb
.pdf
Typesense
Contents
Similarity Search
Typesense as a Retriever
Typesense#
Typesense is an open source, in-memory search engine, that you can either self-host or run on Typesense Cloud.
Typesense focuses on performance by storing the entire index in RAM (with a backup on disk) and also focuses on providing ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/typesense.html |
ad7cf5338339-1 | 'typesense_api_key': 'xyz',
'typesense_collection_name': 'lang-chain'
})
Similarity Search#
query = "What did the president say about Ketanji Brown Jackson"
found_docs = docsearch.similarity_search(query)
print(found_docs[0].page_content)
Typ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/typesense.html |
d39262c9589a-0 | .ipynb
.pdf
AnalyticDB
AnalyticDB#
AnalyticDB for PostgreSQL is a massively parallel processing (MPP) data warehousing service that is designed to analyze large volumes of data online.
AnalyticDB for PostgreSQL is developed based on the open source Greenplum Database project and is enhanced with in-depth extensions by ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/analyticdb.html |
d39262c9589a-1 | import os
connection_string = AnalyticDB.connection_string_from_db_params(
driver=os.environ.get("PG_DRIVER", "psycopg2cffi"),
host=os.environ.get("PG_HOST", "localhost"),
port=int(os.environ.get("PG_PORT", "5432")),
database=os.environ.get("PG_DATABASE", "postgres"),
user=os.environ.get("PG_USER", ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/analyticdb.html |
5bf734cdb68d-0 | .ipynb
.pdf
DocArrayInMemorySearch
Contents
Setup
Using DocArrayInMemorySearch
Similarity search
Similarity search with score
DocArrayInMemorySearch#
DocArrayInMemorySearch is a document index provided by Docarray that stores documents in memory. It is a great starting point for small datasets, where you may not want... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_in_memory.html |
5bf734cdb68d-1 | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_in_memory.html |
5bf734cdb68d-2 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_in_memory.html |
30e89aaf4e89-0 | .ipynb
.pdf
Pinecone
Pinecone#
Pinecone is a vector database with broad functionality.
This notebook shows how to use functionality related to the Pinecone vector database.
To use Pinecone, you must have an API key.
Here are the installation instructions.
!pip install pinecone-client
import os
import getpass
PINECONE_A... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pinecone.html |
30e89aaf4e89-1 | docs = docsearch.similarity_search(query)
print(docs[0].page_content)
previous
PGVector
next
Qdrant
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pinecone.html |
fd7240dc6db4-0 | .ipynb
.pdf
MyScale
Contents
Setting up envrionments
Get connection info and data schema
Filtering
Deleting your data
MyScale#
MyScale is a cloud-based database optimized for AI applications and solutions, built on the open-source ClickHouse.
This notebook shows how to use functionality related to the MyScale vector ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/myscale.html |
fd7240dc6db4-1 | text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
docs = text_splitter.split_documents(documents)
embeddings = OpenAIEmbeddings()
for d in docs:
d.metadata = {'some': 'metadata'}
docsearch = MyScale.from_documents(docs, embeddings)
query = "What did the president say about Ketanji Brown Jackso... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/myscale.html |
fd7240dc6db4-2 | NOTE: Please be aware of SQL injection, this interface must not be directly called by end-user.
If you custimized your column_map under your setting, you search with filter like this:
from langchain.vectorstores import MyScale, MyScaleSettings
from langchain.document_loaders import TextLoader
loader = TextLoader('../..... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/myscale.html |
fd7240dc6db4-3 | docsearch.drop()
previous
Milvus
next
OpenSearch
Contents
Setting up envrionments
Get connection info and data schema
Filtering
Deleting your data
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/myscale.html |
e74201b77209-0 | .ipynb
.pdf
DocArrayHnswSearch
Contents
Setup
Using DocArrayHnswSearch
Similarity search
Similarity search with score
DocArrayHnswSearch#
DocArrayHnswSearch is a lightweight Document Index implementation provided by Docarray that runs fully locally and is best suited for small- to medium-sized datasets. It stores vec... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_hnsw.html |
e74201b77209-1 | docs = db.similarity_search(query)
print(docs[0].page_content)
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections.
Tonight, I’d like to honor someone who has dedicated hi... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_hnsw.html |
e74201b77209-2 | 0.36962226)
import shutil
# delete the dir
shutil.rmtree('hnswlib_store')
previous
Deep Lake
next
DocArrayInMemorySearch
Contents
Setup
Using DocArrayHnswSearch
Similarity search
Similarity search with score
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/docarray_hnsw.html |
18eba9ecf98f-0 | .ipynb
.pdf
LanceDB
LanceDB#
LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrevial, filtering and management of embeddings. Fully open source.
This notebook shows how to use functionality related to the LanceDB vector database based on the Lance data form... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html |
18eba9ecf98f-1 | I spoke with their families and told them that we are forever in debt for their sacrifice, and we will carry on their mission to restore the trust and safety every community deserves.
I’ve worked on these issues a long time.
I know what works: Investing in crime preventionand community police officers who’ll walk the... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html |
18eba9ecf98f-2 | These laws don’t infringe on the Second Amendment. They save lives.
The most fundamental right in America is the right to vote – and to have it counted. And it’s under assault.
In state after state, new laws have been passed, not only to suppress the vote, but to subvert entire elections.
We cannot let this happen. ... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html |
18eba9ecf98f-3 | We’ve set up joint patrols with Mexico and Guatemala to catch more human traffickers.
We’re putting in place dedicated immigration judges so families fleeing persecution and violence can have their cases heard faster.
previous
FAISS
next
Milvus
By Harrison Chase
© Copyright 2023, Harrison Chase.
L... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html |
5c1797794e94-0 | .ipynb
.pdf
ElasticSearch
Contents
Installation
Example
ElasticSearch#
Elasticsearch is a distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
This notebook shows how to use functionality rel... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/elasticsearch.html |
5c1797794e94-1 | Click “Reset password”
Follow the prompts to reset the password
Format for Elastic Cloud URLs is
https://username:password@cluster_id.region_id.gcp.cloud.es.io:9243.
Example:
from langchain import ElasticVectorSearch
from langchain.embeddings import OpenAIEmbeddings
embedding = OpenAIEmbeddings(... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/elasticsearch.html |
5c1797794e94-2 | We cannot let this happen.
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections.
Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justi... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/elasticsearch.html |
424c17cbf58e-0 | .ipynb
.pdf
Tair
Tair#
Tair is a cloud native in-memory database service developed by Alibaba Cloud.
It provides rich data models and enterprise-grade capabilities to support your real-time online scenarios while maintaining full compatibility with open source Redis. Tair also introduces persistent memory-optimized ins... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/tair.html |
424c17cbf58e-1 | docs = vector_store.similarity_search(query)
docs[0]
Document(page_content='We’re going after the criminals who stole billions in relief money meant for small businesses and millions of Americans. \n\nAnd tonight, I’m announcing that the Justice Department will name a chief prosecutor for pandemic fraud. \n\nBy the en... | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/tair.html |
fa37f9ceeee9-0 | .ipynb
.pdf
Airbyte JSON
Airbyte JSON#
Airbyte is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.
This covers how to load any source from Airbyte into a local JSON file that can be read in as... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/airbyte_json.html |
fa37f9ceeee9-1 | is_hidden: True
slot: 3
base_experience: 267
forms:
name: charizard
url: https://pokeapi.co/api/v2/pokemon-form/6/
game_indices:
game_index: 180
version:
name: red
url: https://pokeapi.co/api/v2/version/1/
game_index: 180
version:
name: blue
url: https://pokeapi.co/api/v2/version/2/
game_index: 180
version:
n
prev... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/airbyte_json.html |
db39d8c8d70c-0 | .ipynb
.pdf
Diffbot
Diffbot#
Unlike traditional web scraping tools, Diffbot doesn’t require any rules to read the content on a page.
It starts with computer vision, which classifies a page into one of 20 possible types. Content is then interpreted by a machine learning model trained to identify the key attributes on a ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
db39d8c8d70c-1 | [Document(page_content='LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model via an API, but will also:\nBe data-aware: connect a language model to other sources of data\nBe agentic: ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
db39d8c8d70c-2 | This includes prompt management, prompt optimization, and prompt serialization.\nMemory: Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard interface for memory, a collection of memory implementations, and examples of chains/agents that use memory.\nIndexes: Language... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
db39d8c8d70c-3 | ways. LangChain also provides guidance and assistance in this. Below are some of the common use cases LangChain supports.\nPersonal Assistants: The main LangChain use case. Personal assistants need to take actions, remember interactions, and have knowledge about your data.\nQuestion Answering: The second big LangChain ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
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