$5.5M in Seed
Funding from Craft Ventures, Valor, Saga VC and Chapter One
SAN
FRANCISCO, Aug. 12, 2024 /PRNewswire/ -- Today we are
announcing Ragie, a new AI company that enables developers to
build AI applications connected to their own data with outstanding
results in record time. Now available to the general public, Ragie
was built by industry veterans Bob
Remeika and Mohammed Rafiq.
Ragie has raised $5.5M in funding led
by Craft Ventures, Saga VC, Chapter One, and Valor.
Introducing Ragie: Fully Managed
RAG-as-a-Service with $5.5M Seed
Funding led by Craft Ventures
Most companies rely on LLM providers like OpenAI and Anthropic
combined with a technique called RAG (Retrieval Augmented
Generation) for their AI applications. RAG leverages a company's
own data to generate more insightful content than can be generated
based on what models have been trained on alone. To do this,
companies ingest and index their data in a vector database, feed it
into a prompt, and generate more thorough and accurate content.
However, the process of building production applications using
RAG is very tedious. Developers must:
- Connect and sync multiple data sources including knowledge base
applications and cloud file stores
- Extract meaningful data from a variety of file formats and
media types like PDFs, Microsoft Office documents and images
- Implement constantly evolving techniques for chunking and
retrieval
- Build a scalable data processing pipeline that is resilient and
fast
- Avoid hallucinations and ensure that generated content is
accurate
- Use open source frameworks that can be time consuming to learn
and set up
Building a homegrown solution like this is time consuming and,
despite a team's best efforts, produces brittle applications.
Ragie solves this by providing a fully managed RAG-as-a-Service
platform for developers. Originally developed as a solution for
Glue, David Sacks's new chat
application, Ragie implements a robust data ingest pipeline
and retrieval API that uses the latest techniques in RAG for
chunking, searching, and re-ranking. Through a streamlined
developer experience, developers can connect and sync their
applications with data in Google Drive, Notion, and Confluence.
In addition to offering the core functionality developers need
for RAG, Ragie also offers advanced features such as "Summary
Index" to avoid document affinity problems and "Entity Extraction"
for extracting structured data from unstructured documents.
Ragie's straightforward pricing aligns with the way apps are
developed, deployed, and scaled. Ragie includes a free tier for
developers to get started building their applications, a pro plan
for production, and enterprise for scale.
Sign up for Ragie for free and get started in minutes using the
TypeScript and Python SDKs. For a limited time to celebrate the
launch, Ragie is offering a free month of Pro. Learn more at
Ragie.ai
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SOURCE Ragie