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About

Local and secure AI on your desktop, ensuring comprehensive insights with complete data security and privacy. Experience unparalleled efficiency, privacy, and intelligence with our cutting-edge macOS-native app and advanced AI features. RAG can utilize data from a local knowledge base to supplement the large language model (LLM). This means you can keep sensitive data on-premises while leveraging it to enhance the model‘s response capabilities. To implement RAG locally, you first need to segment documents into smaller chunks and then encode these chunks into vectors, storing them in a vector database. These vectorized data will be used for subsequent retrieval processes. When a user query is received, the system retrieves the most relevant chunks from the local knowledge base and inputs these chunks along with the original query into the LLM to generate the final response. We promise lifetime free access for individual users.

About

Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and individuals requiring a tool to search, integrate, and display their local files and knowledge base

Audience

Companies interested in a powerful AI neural search solution for sites, documents, and apps

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Klee
kleedesktop.com

Company Information

Vectara
Founded: 2020
United States
vectara.com

Alternatives

Azure AI Search

Azure AI Search

Microsoft

Alternatives

Semantee

Semantee

Semantee.AI
Azure AI Search

Azure AI Search

Microsoft
INTERGATOR

INTERGATOR

interface projects

Categories

Categories

Integrations

Codestral
Codestral Mamba
Datavolo
IBM watsonx.data
LangChain
Langflow
Llama
Llama 2
Llama 3.2
Llama 3.3
Mathstral
Meta Pixel
Ministral 3B
Ministral 8B
Mistral AI
Mistral Small
Mixtral 8x7B
OpenAI
Pixtral Large
Swift

Integrations

Codestral
Codestral Mamba
Datavolo
IBM watsonx.data
LangChain
Langflow
Llama
Llama 2
Llama 3.2
Llama 3.3
Mathstral
Meta Pixel
Ministral 3B
Ministral 8B
Mistral AI
Mistral Small
Mixtral 8x7B
OpenAI
Pixtral Large
Swift
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Claim Klee and update features and information
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