Overview
Morfix Insights AI Agent, Your customer service and sales optimizer smart agent. The Morfix Insights AI Agent product allows analyzing and querying the corporate database in free text and receiving an answer with a link to the source. Morfix Insights AI Agent combines Hebrew, English, and Arabic comprehension abilities at the highest level, smart indexing of the information, RAG technologies, and Gen AI models. Morfix Insights AI Agent has self-learning and correction capabilities that assure reliable answers. When a question requires completion or more information, the system will ask follow-up questions for clarification. Morfix Insights AI Agent enables analysis, classification, and insights extraction from unstructured textual information, automatic filtering of offensive content, automatic tagging, entity extraction, sentiment analysis, and classification for different topics. Advantages The most reliable multilingual agent. Compatible with on-premises and SaaS installations. Customized using predefined company data. Tailored responses based on company profile. Accepts data from any source (voice, text, web). Multi-layered solution using diverse models and LLMs. Instant 24/7 responses, and unlimited inquiries. Direct routing to the appropriate human agents.
Highlights
- RAG abilities. multilingual agent
- Hebrew Text Analysis, Intent extraction
- Entity Extraction, morphological analysis
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Delivery details
Container images running on Kubernetes or equivalent
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
- Hebrew free text classification.
- Hebrew free text Entity Extraction.
- Hebrew text analysis.
Additional details
Usage instructions
- Create a new Kubernetes cluster.
- Pull the below images: docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/insights_rest:v-22-12-1 docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/entx_service_he:v-22-12-1 docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/speller_service:v-22-12-1 docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/insightsdb_restapi:aws_market_0812 docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/insights_web:v-22-12-1 docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/melingo/admin_services:v-22-12-1
- Tag and push each image to your repository.
- Download appendix files from here: https://melingo-marketplace.s3.us-west-2.amazonaws.com/MelingoInsights.zip . Use files from appendix to conduct the following: 4.1. Create 6 persistent Volumes Claim (apply 6 pvc files): kubectl apply -f create_insights_pvc.yaml 4.2 Edit file morfix-insights.yaml and change the image's repository and tags 4.3 Run kubectl apply -f morfix-insights.yaml 4.4. Check all the pods are up and running: kubectl get pod -o wide 4.5. Update database and add permissions run restore_insights_db.sh run copy_db_sqlite.sh run kubectl apply -f pod-reader.yaml
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