weaviate/elysia

Health v2 · maintenance only

Adoption not part of the score

1923 stars · 262 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Elysia is an agentic platform and Python package from Weaviate where a decision agent dynamically chooses tools arranged in a decision tree, including pre-built tools for querying and aggregating data in Weaviate clusters. It ships as a pip-installable library with a built-in web app backend (started via `elysia start`) and supports custom tool definitions via a decorator API.

Use cases

• query a weaviate collection with natural language
• build an agentic rag pipeline over my vector database
• create custom tools for an llm agent to call
• chat with my ecommerce data and aggregate results
• self-host an ai assistant frontend for data retrieval
• let an agent decide which retrieval tool to use dynamically

When to choose

• your data lives in Weaviate and you want natural-language query/aggregation
• you want a decision-tree agent with custom Python tools
• you want a ready-made web app plus Python library for agentic retrieval

When to avoid

• you need a production-stable, GA-quality system (it is in beta)
• your data is not in Weaviate and you don't want to write custom retrieval tools
• you need a lightweight single-call LLM client rather than an agent framework

Facets

framework · maturity experimental

agent-framework rag llm-inference search-engine web-framework chatbot artificial-intelligence large-language-models databases web-development developer-tools python self-hosted cross-platform decision-tree-agents weaviate vector-search custom-tools agentic-rag beta ai-agents retrieval-augmented-generation search web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="weaviate/elysia")