Open-source Agent Server and SDK for building and deploying agentic generative AI applications.
Open source
24 alternativesVectara-agentic
py-vectara-agentic is a Python library for creating AI assistants with Vectara using agentic retrieval-augmented generation.
About Vectara-agentic
py-vectara-agentic is a Python library for creating AI assistants with Vectara using agentic retrieval-augmented generation. It uses the LlamaIndex agent framework and provides helper functions to create tools that connect to Vectara corpora, including RAG tools and search tools.
It supports ReAct and function-calling agents, custom workflows, streaming responses and Vectara Hallucination Correction. Use requires a Vectara account with a corpus and API key, Python 3.10 or higher, and API keys for the chosen language model provider.
Key features
- Create Vectara RAG tools or search tools from corpora
- Supports ReAct and function-calling agent types
- Includes pre-built tools for finance, legal and other verticals
- Integrates with OpenAI, Anthropic, Gemini, GROQ, Together.AI, Cohere, Bedrock
- Provides observability with Arize Phoenix for monitoring and feedback
- Supports custom workflows using run() method
Best for: Python developers building assistants that answer from data stored in Vectara corpora.
Good for
- Open source library installable with pip install vectara-agentic
- Works with seven listed language model providers including OpenAI and Anthropic
- Includes example assistants covering finance, legal, teaching and EV topics
Watch out for
- Requires a Vectara account with a corpus and API key
- Requires Python 3.10 or higher
- Requires separate API keys for the chosen language model, with AWS setup for Bedrock
Vectara-agentic at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Vectara-agentic FAQ
What is needed to use vectara-agentic?
A Vectara account, a Vectara corpus with an API key, Python 3.10 or higher, and an API key for OpenAI or another supported provider such as Anthropic, Together.AI, Cohere, Gemini or GROQ. Bedrock use also needs enabled models and AWS_PROFILE and AWS_REGION settings.
How is vectara-agentic installed?
With pip install vectara-agentic.
Which language models can it use?
OpenAI, Anthropic, Gemini, GROQ, Together.AI, Cohere, and Bedrock.
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