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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 Not Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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 Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

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
troveGEN

troveGEN

Intellara Technologies
INTERGATOR

INTERGATOR

interface projects

Categories

Categories

Enterprise Search Supported
Neural Search Supported
Reranking Models Supported
Site Search Supported

Integrations

Codestral Supported
Codestral Mamba Supported
Datavolo Not Supported
Hugging Face Supported
LangChain Supported
Langflow Not Supported
Llama 2 Supported
Llama 3.1 Supported
Llama 3.2 Supported
Meta Pixel Supported
Ministral 3B Supported
Ministral 8B Supported
Mistral 7B Supported
Mistral AI Supported
Mistral NeMo Supported
Mistral Small Supported
Mixtral 8x7B Supported
Model Context Protocol (MCP) Not Supported
Swift Supported

Integrations

Codestral Not Supported
Codestral Mamba Not Supported
Datavolo Supported
Hugging Face Not Supported
LangChain Not Supported
Langflow Supported
Llama 2 Not Supported
Llama 3.1 Not Supported
Llama 3.2 Not Supported
Meta Pixel Not Supported
Ministral 3B Not Supported
Ministral 8B Not Supported
Mistral 7B Not Supported
Mistral AI Not Supported
Mistral NeMo Not Supported
Mistral Small Not Supported
Mixtral 8x7B Not Supported
Model Context Protocol (MCP) Supported
Swift Not Supported
Claim Klee and update features and information
Claim Klee and update features and information
Claim Vectara and update features and information
Claim Vectara and update features and information