Our platform, empowered by Vectara's Retrieval-Augmented Generation (RAG) pipeline, marks a significant advancement in customer service technology. It addresses the key limitation of traditional chatbots, which require constant retraining on updated QnA pairs, by automatically refreshing its knowledge base through the ingestion of diverse multimedia content like documents, YouTube videos, and webpages. Currently in its prototype phase on Streamlit, users can test the system by inputting their personal Vectara database credentials, enjoying a conversational interface designed for friendly and efficient interactions. This initial setup paves the way for a broader application, where the platform can be expanded into a network encompassing both client and company sides, creating a comprehensive, AI-powered customer service ecosystem.

RAG: LLMs with your data

Vectara's RAG-Enhanced Customer Service Bot Platform

GPT-3.5

OpenAI

Vectara

LangChain

Langchain

Whisper

VectaServe

Creating a custom RAG (Retrieve and Generate) pipeline without any coding is now accessible to users and beginners through intuitive no-code platforms. Start by selecting a user-friendly tool like Microsoft Power Automate, Zapier, or specialized AI platforms such as LangChain’s no-code solutions. These platforms offer drag-and-drop interfaces where you can easily configure data sources for retrieval, such as databases, APIs, or cloud storage. Next, integrate AI models for the generation phase by selecting from pre-built templates or connecting to services like OpenAI. Customize the workflow by setting parameters, defining triggers, and establishing how retrieved information is used to generate responses. Additionally, leverage built-in analytics and testing features to refine your pipeline. No-code RAG pipelines empower users to efficiently build robust, tailored solutions for tasks like customer support, content creation, and data analysis without needing programming expertise. This approach accelerates deployment, reduces errors, and allows for easy adjustments, making advanced AI capabilities accessible to everyone.








Helps user and beginner to generate custom rag pipline without any code

Medworks

Restack's Autonomous Intelligence Framework empowers teams to build, deploy, and scale AI systems, offering orchestration, real-time workflows, and adaptive capabilities.

Restack

Llama 3.1 is an open-source, state-of-the-art large language model (LLM) by Meta AI. It’s optimized for advanced NLP tasks, offering various model sizes, and focuses on transparency, safety, and accessibility.

Llama 3.1

Meta is a US technology company that owns the social networks Facebook and Instagram, the instant messaging apps WhatsApp and Messenger, and the virtual reality device brand Meta Quest.

Llama 3.2

LlamaIndex connects data sources to large language models, providing tools to ingest, index, and query data for building powerful AI apps augmented by your knowledge.

LlamaIndex

Discover the power of Together AI and empower AI innovation together!

Together AI

Snowflake is a top cloud data platform, enabling seamless data storage, analysis, and sharing across clouds, serving diverse sectors with real-time insights.

Snowflake

Rag Custom Pipiline Generator

AlphaBeam is a multilingual platform for Conversational Business intelligence, that redefines data interaction by seamlessly helping business users to explore their data without having to rely on their tech teams every time. While traditional BI tools have empowered data exploration through dashboards and reports, they often cater to a specialized audience, requiring technical expertise and leaving out crucial stakeholders. This results in missed insights, delayed decisions, and a limited understanding of their data's true potential.

To address this shortcoming in fostering a truly interactive and user-centric experience for non-technical users, AlphaBeam seamlessly blends conversational capabilities with advanced analytics, creating a symbiotic relationship between business users and their data. It also fosters business interaction in local African languages, to capture cultural contexts.

At a glance, AlphaBeam is a data-agnostic solution to ingest data from different sources, a semantic layer which translates raw data into business vocabularies and user queries into precise metrics and visualisations, a conversational interface for ad-hoc analysis and AI-powered insights through Llama 3.2 in 50+ African languages, and a visualisation layer which transforms the retrieved data into compelling dashboards. These capabilities empower users to carry out the following:

- Conversational Inquiries: Business users can ask questions about already existing dashboards in English or 50+ African languages, just as they would converse with a colleague. They could dig deeper into the data behind the visualisations, gaining a comprehensive understanding of the data.

- Comprehensive Metric Exploration: Engage in a conversational dialogue to uncover insights about any metric or data point. 

- Decision Making at the Speed of Data: Through conversational querying, AlphaBeam empowers users to make informed decisions very quickly based on readily available insights.

Multilingual conversational business intelligence in 50+ African languages

AlphaBeam

Chroma is an AI-native open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory

Chroma

Unleash the potential of Streamlit for rapid deployment of data applications.

streamlit

LlamaLaw is an advanced, AI-driven chatbot created to help immigrants, newcomers, and other users easily navigate government websites and understand complex legal procedures. Powered by a fine-tuned language model that’s been trained on lawyer-client conversations and other legal resources, LlamaLaw delivers accurate, reliable guidance in a conversational, user-friendly manner. Designed to bridge gaps in accessibility, it offers multilingual support, enabling users to communicate in their preferred language and reducing barriers for non-native speakers.

By understanding specific legal terminology and typical questions about government procedures, LlamaLaw can break down complex topics—such as visas, work permits, residency applications, healthcare, and tax obligations—into clear, easy-to-follow steps. The chatbot goes beyond simple answers, providing detailed explanations, form-filling instructions, deadline reminders, and tailored links to relevant resources, all in real time.

LlamaLaw uses an advanced tech stack including Together AI APIs, Hugging Face, and Crawl4AI to retrieve up-to-date, accurate information from government websites. This ensures that users are guided with the latest requirements and official protocols. The chatbot's backend, managed with Python, efficiently processes user inquiries, enabling seamless integration of these tools and timely responses, while Streamlit creates a simple and intuitive front-end interface for users to interact with the chatbot.

LlamaLaw ultimately provides an accessible, empathetic solution for anyone unfamiliar with complex legal systems, offering personalized assistance that reduces confusion and streamlines the process of accessing government services. By making official procedures clearer and more accessible, LlamaLaw empowers users to confidently engage with necessary resources and get answers to pressing legal questions without unnecessary stress.

LlamaLaw is an AI-powered chatbot designed to assist immigrants and newcomers in navigating government websites and understanding legal procedures. Equipped with a fine-tuned language model trained on real legal conversations

Llamanator

Cutting-edge AI language model with unparalleled performance and innovative features.

Llama 3

Llama Law 

EzAid is dedicated to revolutionizing immigration and tax assistance by integrating advanced artificial intelligence solutions, simplifying complex procedures, and improving the overall client experience. This presentation will dive deep into the innovative ways EzAid streamlines these essential services, from automating paperwork to optimizing communication channels. We'll showcase how our AI-driven platform minimizes the workload for clients and professionals alike, making regulatory processes more accessible, efficient, and less daunting. Additionally, we will explore how our approach fosters greater accuracy and responsiveness, allowing users to navigate immigration and tax matters with confidence and ease. Through EzAid, we're not only addressing pressing challenges but also redefining what it means to receive personalized support in these pivotal areas.

Revolutionizing Immigration and Tax Assistance Through Artificial Intelligence

EzAid

Lingualink is a digital health app that bridges language gaps in emergency medical settings, enhancing response times and care quality for non-English-speaking patients. Designed to transcribe low-resource languages into English, Lingualink allows triage nurses to quickly assess patient conditions who do not speak English efficiently, ensuring critical symptoms are accurately conveyed. In the US, 8.6% of the population faces language barriers in the ER, leading to potential treatment delays. Even a one-minute reduction in response time can save 10,000 lives annually, highlighting the urgent need for accessible translation.
Lingualink operates with real-time transcription tailored to medical contexts, delivering precise, clinically informed translations for underrepresented languages in medical emergency settings. Cost-effective at $3,000 per month, Lingualink provides hospitals an affordable alternative to on-site or third-party translators. With a Total Addressable Market (TAM) of $2.64 billion, a Serviceable Available Market (SAM) of $1.32 billion, and a Serviceable Obtainable Market (SOM) of $132 million, our SaaS model targets US hospitals facing significant language barriers.
Our competitive advantage includes rapid response, accuracy, and data-driven translations verified by medical research, making Lingualink a vital tool for ER staff. By reducing communication barriers, Lingualink enhances ER experiences for non-English speakers, helping to lower healthcare costs, accelerate treatment, and potentially save thousands of lives annually.

Our app leverages a fine-tuned model trained on low-resource languages, enabling seamless, adaptive communication with patients in their native languages. This approach breaks down language barriers between medical staff and patients, ensuring that patients can comfortably discuss their health concerns in their preferred language, thereby improving the quality and accessibility of healthcare

Bridging the language gap in medical emergencies for faster, accurate ER care

CrewSeven

MindsDB's Knowledge Base (KB) is an AI-optimized data store for efficient knowledge management, leveraging embeddings and vector databases for ML and AI tasks.

VectaServe

Rag Custom Pipiline Generator

AlphaBeam

Llama Law

EzAid

LinguaLink

Rag Custom Pipiline Generator

AlphaBeam

Llama Law

EzAid

LinguaLink