Home/Data & Retrieval/recipes

recipes

weaviate/recipes

End-to-end notebooks for using Weaviate features and integrations.

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

46views this month

947 stars198 forksLast push Sep 16, 2026 Jupyter Notebook

Decision brief

Comprehensive notebooks covering Weaviate features including vector search, media search, multi-tenancy configurations and integration use cases.

Good fit when

When you are specifically interested in exploring various integrations with cloud hyperscalers (Google, AWS), LLM frameworks (LangChain, LlamaIndex), and other technologies mentioned, such as Databri
If you need detailed examples on Weaviate's capabilities like multi-tenancy support or media search functionality which require nuanced configurations

Avoid when

If you are looking for generalized vector database use case examples that do not specifically showcase Weaviate's unique integrations or features
When your focus is on understanding and using broad category services instead of the specific, detailed examples and configurations available in the Weaviate ecosystem

Observed Jul 9, 2026 · Source: enrich:decision_facts

recipes alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (3d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Weaviate. Display-only - separate from trust and ranking.

Company: Weaviate·GitHub org profile·Jul 11, 2026
Funding: $50,000,000 (2023-04)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: Open core·GraphCanon curated seed·Jul 11, 2026

Install

git clone https://github.com/weaviate/recipes

How it fits your stack(8)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

langflow

The 'recipes' repository includes comprehensive notebooks that demonstrate integrating Weaviate with other technologies, which can include setting up and utilizing Langflow for building AI workflows, thus establishing an 'integrates with' relationship through shared-use cases in AI development environments.

integrates

llama_index

recipes integrates with llama_index by providing Weaviate-related notebooks that demonstrate how to use Weaviate with LlamaIndex as one of the vector store integrations, showcasing practical implementations and configurations.

integrates

quivr

The 'recipes' repository provides comprehensive notebooks that showcase integrations including those with vector search capabilities, which can be related to the functionalities provided by 'quivr'. Quivr itself acts as a framework for integrating GenAI into applications and supports various LLMs and vectorstores, making it possible for users guided by the 'recipes' notebooks to incorporate quivr,

integrates

Depends on

weaviate

The 'recipes' repository provides examples and integrations that depend on Weaviate to function.

depends on

llm-app

'recipes' includes generative AI examples that could be complementary to Pathway's llm-app templates, though they do not directly integrate.

RAG_Techniques

'recipes' covers retrieval-augmented generation, which aligns with the scope of RAG_Techniques but does not directly integrate or succeed it.

examples

These repos both offer end-to-end notebooks targeting the use of their respective database systems (Pinecone and Weaviate) in AI workloads.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents

21k★

databend

All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.

9.4k★

langchain-tutorials

Overview and tutorial of the LangChain Library

7.5k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Contains Jupyter Notebook examples demonstrating the use of various functionalities and integrations with Weaviate, a vector database for building end-to-end semantic search stacks.

Capability facts

Languages: jupyter notebook
Source: github.language · Sep 20, 2026

Graph entities

Weaviatecompany LangChainframework LlamaIndexframework CrewAIframework Haystackframework Semantic Kernelframework DSPyframework Pydantic AIframework Ollamaframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangChain integrationLangChain

Source: README excerpt (regex_v1, Sep 20, 2026)

| LLM and Agent Frameworks | Agno, CrewAI, Composio, DSPy, Dynamiq, LangChain, LlamaIndex, Pydantic, Semantic Kernel, Ollama, Haystack, Modaic |

Source link

README

Welcome to Weaviate Recipes 💚 This repository covers end to end examples of the various features and integrations with Weaviate. Category Description Datasets Ready to use datasets to ingest data into your Weaviate cluster Integrations Notebooks showing you how to use Weaviate p...

For agents

This page has a .md twin and JSON over the API.

/tools/weaviate-recipes.md GET /api/graphcanon/tools/weaviate-recipes GET /api/graphcanon/graph?tool=weaviate-recipes

recipes

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Backing

Install

How it fits your stack(8)

Integrates

Depends on

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Graph entities

Compatibility

Tags

README

For agents