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Average Ratings 0 Ratings
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
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
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
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