Search
Seamlessly unite vast data from diverse sources, enhancing the effectiveness of AI pipelines.
Integrate across your data sources
Integrate across your data sources
Integrate across your data sources
Experience the simplicity of centralized data control. VectorShift's intuitive platform lets you effortlessly integrate multiple data sources, transforming complexity into clarity.
Experience the simplicity of centralized data control. VectorShift's intuitive platform lets you effortlessly integrate multiple data sources, transforming complexity into clarity.
Experience the simplicity of centralized data control. VectorShift's intuitive platform lets you effortlessly integrate multiple data sources, transforming complexity into clarity.
Empower your AI workflows
Empower your AI workflows
Empower your AI workflows
Enable your AI applications to access, analyze, and utilize the integrated data sources, providing accurate, context-rich outputs.
Enable your AI applications to access, analyze, and utilize the integrated data sources, providing accurate, context-rich outputs.
Enable your AI applications to access, analyze, and utilize the integrated data sources, providing accurate, context-rich outputs.
Customize your search engine
Customize your search engine
Customize your search engine
Precision meets customization. Tune your search results effortlessly, and explore the advanced realms of hybrid search, reranking, and metadata filtering. Tailor your search engine to perfection, ensuring optimal performance and uncovering the most relevant insights within your data landscape.
Precision meets customization. Tune your search results effortlessly, and explore the advanced realms of hybrid search, reranking, and metadata filtering. Tailor your search engine to perfection, ensuring optimal performance and uncovering the most relevant insights within your data landscape.
Precision meets customization. Tune your search results effortlessly, and explore the advanced realms of hybrid search, reranking, and metadata filtering. Tailor your search engine to perfection, ensuring optimal performance and uncovering the most relevant insights within your data landscape.
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Integrations and automations
Live-sync, set up action based triggers (e.g., receive an email), and automate actions (e.g., send a slack message) across your tool stack
Google Drive
OneDrive
SalesForce
Hubspot
Notion
Airtable
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
Large language models
Access the latest models through the VectorShift platform
OpenAI
Anthropic
Huggingface
LLAMA
AWS
Mistral AI_
VectorShift Docs
Unlock advanced features and detailed guides in our extensive documentation.
pipeline_setup.py
from vectorshift.node import *
from vectorshift.pipeline import *
file_node = InputNode(name='file_input', input_type='file')
model_text_node = TextNode(text='Describe this file to me.')
llm_node = OpenAI_LLMNode(
model='gpt-4.0-turbo',
system_input=model_text_node.output(),
prompt_input=fileloader_node.output()
)
output_node = OutputNode(
name='my_output',
output_type='text',
input=llm_node.output()
)
VectorShift Docs
Unlock advanced features and detailed guides in our extensive documentation.
pipeline_setup.py
from vectorshift.node import *
from vectorshift.pipeline import *
file_node = InputNode(name='file_input', input_type='file')
model_text_node = TextNode(text='Describe this file to me.')
llm_node = OpenAI_LLMNode(
model='gpt-4.0-turbo',
system_input=model_text_node.output(),
prompt_input=fileloader_node.output()
)
output_node = OutputNode(
name='my_output',
output_type='text',
input=llm_node.output()
)
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
© 2023 VectorShift, Inc. All Rights Reserved.
