Elasticsearch AI
The search AI platform for building and scaling RAG, semantic search, and vector applications.
Updated 12d ago
Has API
PricingPaid
$95-$175/mo
Semantic Search
Retrieval-Augmented Generation (RAG)
Vector Embedding Storage
About Verba
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.
Core Capabilities
Verba is a community-driven open-source application designed to offer an end-to-end, streamlined interface for Retrieval-Augmented Generation (RAG).
Main Tasks
Orchestrate RAG pipelines
Explore all tools that specialize in orchestrate rag pipelines. This domain focus ensures Verba delivers optimized results for this specific requirement.
