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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Amazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem.

Description

Contextwaise is an innovative API and agent SDK designed for teams developing retrieval-augmented generation (RAG) applications, AI agents, and various LLM products. It evaluates retrieved content such as passages, web pages, chat logs, and tool outputs based on the current task requirements, returning relevant context while adhering to a specified token limit before the application engages its language model. A versatile REST API allows for requests in any programming language, while TypeScript and Python SDKs facilitate agent workflows and integrate seamlessly with Vercel AI SDK, Anthropic SDK, and OpenAI SDK. The output maintains the order of submissions, providing reports that detail token adjustments, potential cost efficiencies, and explanations for omitted content. Contextwaise goes further by offering request logging, customizable budgets, and quality assurance; its agent SDKs can also reveal sections of excluded tool outputs for further elaboration. By utilizing this solution, engineering teams can effectively minimize extraneous model inputs while keeping their retrieval resources, prompts, and calls to model providers intact, thus streamlining the development process. This optimization ultimately enhances their ability to create more efficient AI-driven applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

OpenAI Yes 
Amazon Nova 2 Pro Yes 
Amazon Nova Lite Yes 
Apify Yes 
Athina AI Yes 
Author-it Yes 
Automation Anywhere Yes 
Claude Mythos 5 Yes 
Claude Opus 5.5 Yes 
Convesio Yes 
Datus Yes 
GPT-6.1 Sol Yes 
GPT-6.1 Terra Yes 
Mistral AI Yes 
Mixpeek Yes 
Mixtral 8x7B Yes 
Motific.ai Yes 
Sprinklr Social Yes 
Strands Agents Yes 
Vercel AI SDK No 

Integrations

OpenAI Yes 
Amazon Nova 2 Pro No 
Amazon Nova Lite No 
Apify No 
Athina AI No 
Author-it No 
Automation Anywhere No 
Claude Mythos 5 No 
Claude Opus 5.5 No 
Convesio No 
Datus No 
GPT-6.1 Sol No 
GPT-6.1 Terra No 
Mistral AI No 
Mixpeek No 
Mixtral 8x7B No 
Motific.ai No 
Sprinklr Social No 
Strands Agents No 
Vercel AI SDK Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$15/month
Free includes 1M context tokens once. Pro is $15/month for 100M tokens/month, then $0.18 per started 1M tokens. Scale is $49/month for 350M tokens/month, then $0.15 per started 1M tokens. Enterprise has custom pricing under an annual contract and offers self-hosted deployment.
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises Yes 
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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/bedrock/

Vendor Details

Company Name

GITMORE

Founded

2026

Country

United Kingdom

Website

contextwaise.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Chatbot

Call to Action No 
Context and Coherence No 
Human Takeover No 
Inline Media / Videos No 
Machine Learning No 
Natural Language Processing No 
Payment Integration No 
Prediction No 
Ready-made Templates No 
Reporting / Analytics No 
Sentiment Analysis No 
Social Media Integration No 

Product Features

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