vectara/py-vectara-agentic
A python library for creating AI assistants with Vectara, using Agentic RAG
Leverages LlamaIndex's agent framework with built-in support for ReAct and function-calling patterns, enabling agents to iteratively reason and call Vectara RAG tools. Provides pre-built domain-specific tools for finance, legal, and other verticals, plus integration with Vectara's hallucination correction (VHC) to ground responses in retrieved data. Supports streaming responses and observability via Arize Phoenix, while offering seamless multi-LLM compatibility (OpenAI, Anthropic, Gemini, Cohere, Bedrock, and others).
114 stars. Available on PyPI.
Stars
114
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 10, 2025
Commits (30d)
0
Dependencies
46
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/vectara/py-vectara-agentic"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses...
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications...
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.