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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

VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.

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

Anyone in need of a tool to save, search, store, manage, and retrieve text

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

VectorDB
United States
vectordb.com

Alternatives

Azure AI Search

Azure AI Search

Microsoft

Alternatives

ChatRTX

ChatRTX

NVIDIA

Categories

Categories

Integrations

Codestral
Codestral Mamba
Hugging Face
Lamatic.ai
LangChain
Le Chat
Llama
Llama 3
Llama 3.1
Llama 3.3
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Pixtral Large
Python

Integrations

Codestral
Codestral Mamba
Hugging Face
Lamatic.ai
LangChain
Le Chat
Llama
Llama 3
Llama 3.1
Llama 3.3
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Pixtral Large
Python
Claim Klee and update features and information
Claim Klee and update features and information
Claim VectorDB and update features and information
Claim VectorDB and update features and information