RAGShift - A ChurnShift product

Modernize your Enterprise Search with RAGShift

Transparent, reliable, customizable Conversational AI search to unlock your enterprise data and shift your problems to solutions

Who We Are

With RAGShift, we help enterprises to modernize their search stack with the new
Retrieval
Augmented
Generation
or
RAG
search paradigm

With RAGShift, we help enterprises to modernize their search stack with the new
Retrieval
Augmented
Generation
or
RAG
search paradigm

Services

Services

Services

Components for shifting your current business to a modern AI company

Shoveller.io
Shoveller.io
Shoveller.io

Custom ETL for RAG

Developing evaluation-based ETL for your RAG use-cases and Agentic AI applications using shoveller.io

SanderLang
SanderLang
SanderLang

Custom LLM fine-tuning

Fine-tuning specialized , cost-effective and domain-specific LLMs and embedding models using SanderLang

Beyond Naive RAG solutions

With RAGShift, we modernize your search solutions while minimizing the risk and problems of current conversational UX



Filters :

Metadata

Technical terms

Date

Topics

Ask me something..

Settings :

Ranking setting

Retrieval setting

Thresholds

Custom Rerankers

Filters :

Metadata

Technical terms

Date

Topics

Ask me something..

Settings :

Ranking setting

Retrieval setting

Thresholds

Custom Rerankers

Ask me something..

Settings :

Ranking setting

Retrieval setting

Thresholds

Custom Rerankers

Advanced Business Chatbots

Extract actionable insights from complex data sets to drive informed decisions and accelerate business growth using customizable chatbots via dynamic settings at query run-time and based on your domain-specific filters and faceting based on topics of your domain.

On Call..

Mic On

Video Off

Caption On

Present

AI Developer

Sales expert

Marketing expert

You

Note Taking…

On Call..

Mic On

Video Off

Caption On

Present

AI Developer

Sales expert

Marketing expert

You

Note Taking…

AI Developer

Sales expert

Marketing expert

You

AI Consulting

We will provide support and consultation based on your organizations needs to integrate Generative AI into your internal search tools, knowledge assistants, or customer-facing chatbots and help you deliver production-ready solutions including Infrastructure setup, Semantic caching, semantic routing, and hybrid search optimization as well as deployment automation and monitoring support.

Process

Process

Process

Your path to better conversational search

A holistic and evaluation-driven solution to conversational search UX.

Requirement Analysis & Design

Architecting, developing, and deploying scalable RAG-based systems for your enterprise knowledge retrieval and conversational AI tailored to your domain, business requirements and data.

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Development & Evaluation

Developing end-to-end RAG pipeline design including: evaluation-driven ETL pipelines, LLM fine-tuning, custom embedding, and adapting Domain-specific ontologies for better search experience.

Security

Efficiency

Speed

Accuracy

Status:

Updating:

Security

Efficiency

Speed

Accuracy

Status:

Updating:

Security

Efficiency

Speed

Accuracy

Status:

Updating:

Launch , Monitor & Maintain

We setup infrastructure in the cloud or in your premises and deploy your solution seamlessly and add monitoring to ensure its continued performance.

FAQs

FAQs

FAQs

How to Fix the Main Problems in Conversational AI Search

FAQs designed to provide the information you need.

What is the main problem with Conversational AI Search?

What is the main differenrce between tradtional search UX and conversational search UX?

How RAGShift solves the problems of conversational Search AI and keep the benefits of the new paradigm?

Will RAGShift solutions disrupt my current search solutions and bussiness models?

How much does the RAGShift solution cost?

What is the main problem with Conversational AI Search?

What is the main differenrce between tradtional search UX and conversational search UX?

How RAGShift solves the problems of conversational Search AI and keep the benefits of the new paradigm?

Will RAGShift solutions disrupt my current search solutions and bussiness models?

How much does the RAGShift solution cost?

What is the main problem with Conversational AI Search?

What is the main differenrce between tradtional search UX and conversational search UX?

How RAGShift solves the problems of conversational Search AI and keep the benefits of the new paradigm?

Will RAGShift solutions disrupt my current search solutions and bussiness models?

How much does the RAGShift solution cost?

Contacts

Contacts

Contacts

Let’s talk about how we can help to modernize your search solutions or let us send you our solutions white paper


Whether you have questions or are ready to discuss your business, we’re here to help. Reach out today by email or fill out this contact form and we will reach out to you and we will send our complimentary white paper on how to modernize and improve search solutions with GenAI while keeping all the benefits and requirements of your current solutions.

rag@churnshiftcom

430 Park Ave,, New York, NY, 10022