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Average Ratings 0 Ratings

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features
design
support

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Description

Keenable operates as a standalone web search infrastructure tailored for AI laboratories, inference frameworks, agents, and developers seeking quick and reliable access to real-time web content. The Search API equips AI entities with an extensive index comprising over 100 billion documents, specifically designed for rapid retrieval with performance fine-tuned for demanding production agent tasks. Agents are enabled to search through web pages and obtain page content via a REST API, MCP server, or command-line interface, all under a single account and API key. Continuously striving for excellence, Keenable assesses and enhances search quality through its NEEDLE benchmark, which evaluates retrieval efficiency across various search providers and aligns results with an oracle ranking derived from aggregated outcomes. For expansive AI tasks, the platform offers dedicated search capacity alongside options for cloud and on-premises deployment. Additionally, its Time Machine feature enhances retrieval capabilities by allowing users to conduct searches across historical webpage versions, offering a comprehensive view of past content. This dual focus on current and historical data positions Keenable as a versatile tool for modern AI applications.

Description

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Langflow Yes 
Model Context Protocol (MCP) Yes 
ChatGPT Yes 
Claude Yes 
Claude Code Yes 
Cursor Yes 
Haystack Yes 
Hermes Agent Yes 
IBM watsonx.data No 
Ketch Yes 
LangChain Yes 
Lightpanda Yes 
Mastra AI Yes 
OpenAI Codex Yes 
OpenClaw Yes 
Pi Yes 
Vercel AI SDK Yes 
Visual Studio Code Yes 
n8n Yes 
nanobot Yes 

Integrations

Langflow Yes 
Model Context Protocol (MCP) Yes 
ChatGPT No 
Claude No 
Claude Code No 
Cursor No 
Haystack No 
Hermes Agent No 
IBM watsonx.data Yes 
Ketch No 
LangChain No 
Lightpanda No 
Mastra AI No 
OpenAI Codex No 
OpenClaw No 
Pi No 
Vercel AI SDK No 
Visual Studio Code No 
n8n No 
nanobot No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Keenable

Founded

2026

Country

United States

Website

keenable.ai/

Vendor Details

Company Name

Vectara

Founded

2020

Country

United States

Website

vectara.com

Product Features

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

Alternatives

Alternatives

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