
Trino
Fast distributed SQL query engine for big data analytics.

An open-source Retrieval Augmented Generation (RAG) chatbot powered by Weaviate.

Verba is a community-driven open-source application designed to offer an end-to-end, streamlined interface for Retrieval-Augmented Generation (RAG). It allows users to explore datasets and extract insights either locally with Ollama and Huggingface or through LLM providers like Anthropic, Cohere, and OpenAI. Verba combines RAG techniques with Weaviate's context-aware database, enabling users to query and interact with data. It supports different RAG frameworks, data types, chunking & retrieving techniques, and LLM providers. Verba can be deployed via Docker or built from source, making it accessible for various deployment environments. It supports importing data from various sources including UnstructuredIO, Firecrawl, UpstageDocumentParse, PDF, GitHub, GitLab, and CSV/XLSX files.
Verba is a community-driven open-source application designed to offer an end-to-end, streamlined interface for Retrieval-Augmented Generation (RAG).
Explore all tools that specialize in orchestrate rag pipelines. This domain focus ensures Verba delivers optimized results for this specific requirement.
Explore all tools that specialize in data querying. This domain focus ensures Verba delivers optimized results for this specific requirement.
Combines semantic and keyword search for improved information retrieval.
Allows free control over metadata for ingested documents.
Ingests data asynchronously to speed up the process.
Visualizes data in 3D for better understanding of vector embeddings.
Verba's frontend is fully customizable, allowing users to tailor the interface to their needs.
Install Verba via pip: `pip install goldenverba`
Clone the Verba repository from GitHub: `git clone https://github.com/weaviate/Verba`
Install dependencies: `pip install -e .` (if building from source)
Set up environment variables in a `.env` file, including API keys for Weaviate, OpenAI, etc.
Start Verba using Docker: `docker compose --env-file <your-env-file> up -d --build`
Access the Verba frontend in your web browser.
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Fast distributed SQL query engine for big data analytics.

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