RAG: Build AI Agents

AI That Speaks the Language of Your Data

Get Precise Responses without the Hassle of Fine-Tuning

Hallucination-free Reliable AI

Typing Effect Sentence Rotator

How RAG works?

RAG is a powerful combination of information retrieval and language generation that provides contextually accurate answers by integrating external knowledge with AI responses.

Advanced Features for Intelligent and Fine-Tuning-Free AI

Real-Time Retrieval

Access real-time or stored documents, knowledge bases, and other data sources for on-demand responses.

High-Performance Vector Database

Leverages a high-speed vector database for efficient retrieval of relevant data.

Customizable System
Prompts

Adapt prompts and responses based on specific tasks or conversational needs.

Seamless LLM Integration

Combines the retrieved data with advanced language models for coherent, context-aware responses.

Multiple Chunking Methods

Users can choose from different Chunking methods like Books, Resume etc. and the interface allows users to add and edit chunks from the documents

Flexible Data Ingestion

Supports multiple data formats and option to sync data directly from local, S3, Google Drive etc.

API based access to the Chatbot

Chat Playground to test your application

Retrieval testing

Multiple LLMs to choose for the Assistant

Customisable Opener/Greetings and empty response

Tweak Model Parameters according to your use case

Create a Personalised AI Chat Assistant
in a few clicks

➜ Create a Knowledge base ➜ Select Chunking Method

➜ Upload your Documents ➜ Evaluate Retrieval System

➜Customise System Prompt ➜Select the LLM for Generation

➜ Test your AI Chat Assistant ➜ Use TIR API to integrate in your Website or Mobile Application

Find your step by step guide to create an AI Chatbot here!

Documentation Try for Free

RAG in Action: Solving Real-World Challenges with AI-Driven Retrieval

Access real-time information from customer databases, FAQs, and product documents, improving the speed and relevance of responses

Benefits

‍Reduced Support Workload: Automates repetitive queries.
Faster Resolutions: Provides instant data-backed responses.
Improved Customer Satisfaction: Delivers precise answers without delay.

Company-wide knowledge assistant that provides quick access to internal resources such as training materials, policies, and best practices.
‍
Benefits

‍Increased Productivity: Saves employees’ time by reducing search efforts.
Enhanced Knowledge Sharing: Makes company knowledge readily accessible.
Consistent Responses: Delivers accurate information across teams.

Respond to customer inquiries about product specifications, pricing, and availability by fetching information from product catalogs and inventory databases.

Benefits
‍
‍Enhanced User Experience: Delivers quick, comprehensive answers.
Reduced Cart Abandonment: Informs and reassures customers.
Scalable Support: Handles high query volumes without impacting quality.

Empower sales reps by retrieving up-to-date product details, competitor insights, and market data to improve customer interactions and pitches.
‍
Benefits
‍
Faster Sales Cycles: Provides instant, up-to-date information to close deals faster.
Competitive Advantage: Ensures access to the latest market insights.

Healthcare and Legal professionals can retrieve relevant information from journals, legal databases, and case files, providing them with quick insights.
‍
Benefits
‍
Improved Accuracy: Retrieves evidence-based data for informed decision-making.
Streamlined Workflows: Reduces time spent searching for data.
High Confidentiality: Handles sensitive data securely.

Not sure how TIR RAG can help you?

Talk to our Experts

AI Solutions for Every User and Application

Seamlessly Deploy Your AI/ML Models
with Our Robust Platform

To deploy containers that serve model API

Model Endpoints

Deploy using pre-built Containers or your own container

Automate download of model fields from EOS bucket to the container

Frameworks for Text Generation, Video and
Image Generation, Object Detection and many more.

Fully managed service to access Foundation Models through a single API

GenAI API

User-friendly platform to select models, configure parameters and observe the results

Directly access a ready to use, highly scalable API provided by TIR

No need to worry about Infrastructure and Deployment. Just pay based on API calls

TIR Platform for your AI/ML Needs

Accelerate Model Training with
NVIDIA GPU powered Platform

Re-train existing models

Fine Tuning

Modify pre-existing, pre-trained models to cater to a specific task

Start training models from scratch

Easy-to-use interface to experiment with your GenAI Models

Playground

Test your LLMs before deploying them on the application.

Parameter tuning to optimise your Model output

Automate workflows with Run

Pipeline

Write scalable, serverless and asynchronous training jobs based on docker containers.

Scheduled Run to execute at specific predetermined times or intervals.

Built on top of Jupyter Notebook

Nodes

Powerful NVIDIA GPUs to take care of your workloads

Deploy Custom images

Use Pre-built images, including PyTorch and Transformers,

TIR Platform for all your AI/ML needs

Efficient and Scalable Storage Solutions

Scalable storage solutions for large datasets

Datasets

Load training data from your local machine and other cloud providers

Access the data from your Notebook as a mounted file system

Designed for high-performance vector similarity search

Vector Database

Qdrant to store, search and manage high-dimensional vectors.

Integration with LangChain and Llama Index

Storage buckets to store model weights and config files

Model Repository

Central storage for your custom models and related configurations

Store, version and share your custom or fine-tuned model

Access the models through REST API or GPRC connections

Store private container images

E2E Container Registry

Create multiple discrete repositories in the same region

Supports multiple Artifact formats