Verba

An open-source, enhanced retrieval generative chatbot.

CommonProductProgrammingOpen-sourceRAG

Verba is an open-source application designed to provide an end-to-end, seamless, and user-friendly retrieval-augmented generation (RAG) interface. It combines cutting-edge RAG techniques with Weaviate's context-aware database, supporting both local and cloud deployments, making it easy to explore datasets and extract insights.

Supports local and cloud deployments
offering flexible querying and interaction methods.
Leverages Weaviate's context-aware database for efficient data retrieval and generation.
Supports various RAG frameworks
data types
chunking
and retrieval techniques
as well as different Large Language Model (LLM) providers such as OpenAI
Cohere
and Google.

Target audience includes developers
data scientists
and enterprise users who need a powerful tool to process and analyze large datasets. Verba offers highly customizable and automated data exploration solutions
helping them effectively extract insights and knowledge.

Data scientists use Verba to analyze research data and extract key insights.
Enterprise users leverage Verba to optimize customer service by providing instant assistance through chatbots.
Developers integrate Verba into their applications to enhance data querying and processing capabilities.

1. Install the required Python environment and dependencies.
2. Install Verba via pip or build from source code.
3. Configure necessary environment variables
such as Weaviate URL and API keys.
4. Start the Verba application.

Visit

Verba Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

Verba Visit Trend

Verba Visit Geography

Verba Traffic Sources

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