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Description
AnswerBank is an innovative RAG software that empowers organizations to generate AI responses directly from their documents, allowing them to selectively publish curated answers as public pages that include both images and text-to-speech features. Within a secure private RAG environment, users can query their documents while ensuring document security and controlled access, keeping their data safe while unlocking valuable AI-driven insights. This setup enables the secure sharing of chosen excerpts as public summaries, views, or audio content without revealing the original documents. Additionally, organizations can leverage this platform to provide customer-facing chat options, create FAQs, publish newsletters, or even produce podcasts, all sourced from their private documents without compromising security. It offers robust domain-level access control, public-facing bot pages, AI-generated audio, and embeddable routes, ensuring that source files remain completely protected. Thus, AnswerBank stands out as a comprehensive solution for secure document interaction and AI response generation.
Description
LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.
API Access
Has API
API Access
Has API
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No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$29/month/tenant
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AnswerBank
Founded
2025
Country
United States
Website
answerbank.net
Vendor Details
Company Name
LMCache
Country
United States
Website
lmcache.ai/