mirror of
https://github.com/qdrant/landing_page.git
synced 2026-09-29 07:58:31 +02:00
* Created Dev-portal pages * changed structure of documents for dev-portal section, renamed dev-portal to docs, related template changes * keeping learn section for future usage * update dev-portal and documents * added feedback and breadcrumbs components * used the docs-side menu partial on documentation pages, and added active state to the docs-header links * search console on docs * small fixes * assigned partitions, css fix * fix links on the core page * update links for cloud * update links for build * Reference -> API Reference * [WIP] Dev portal light theme (#1250) * light theme - docs side menu * background fix * wip: updating layout * layout update * light theme * card titles with a link * upd page-search package * simplified header * fixes * TOC scroll spy (#1259) * scroll spy on table of contents * packages versions fix * custom scroll spy for toc * make spy work again --------- Co-authored-by: generall <andrey@vasnetsov.com> * limit toc depth to 3 * thin scrollbar * No dev template (#1266) * divided the docs template into smaller partials, increased reusability * removed docs section, moved all to the documentation * review fixes * review fixes --------- Co-authored-by: generall <andrey@vasnetsov.com> * side panel more compact * toc margin bottom fix * Refactoring and renaming (#1277) * renamed and moved partials, fixed link * refactoring: docs-card * fix * fix urls * disable scrollbar on table of content * added scrollbar colors for light theme (#1280) * fix language * Dev portal fixes (#1285) * cards fixes * moved files, fixed paddings * fix for my fix * external header links * fix --------- Co-authored-by: trean <trean.mi@gmail.com> Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: davidmyriel <davidmyriel@gmail.com>
36 lines
6.6 KiB
Markdown
36 lines
6.6 KiB
Markdown
---
|
|
title: Build Prototypes
|
|
weight: 26
|
|
partition: build
|
|
---
|
|
# Examples
|
|
|
|
| End-to-End Code Samples | Description | Stack |
|
|
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
|
|
| [Multitenancy with LlamaIndex](/documentation/examples/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex |
|
|
| [Implement custom connector for Cohere RAG](/documentation/examples/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI |
|
|
| [Chatbot for Interactive Learning](/documentation/examples/rag-chatbot-red-hat-openshift-haystack/) | Build a Private RAG Chatbot for Interactive Learning | Qdrant, Haystack, OpenShift |
|
|
| [Information Extraction Engine](/documentation/examples/rag-chatbot-vultr-dspy-ollama/) | Build a Private RAG Information Extraction Engine | Qdrant, Vultr, DSPy, Ollama |
|
|
| [System for Employee Onboarding](/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/) | Build a RAG System for Employee Onboarding | Qdrant, Cohere, LangChain |
|
|
| [System for Contract Management](/documentation/examples/rag-contract-management-stackit-aleph-alpha/) | Build a Region-Specific RAG System for Contract Management | Qdrant, Aleph Alpha, STACKIT |
|
|
| [Question-Answering System for Customer Support](/documentation/examples/rag-customer-support-cohere-airbyte-aws/) | Build a RAG System for AI Customer Support | Qdrant, Cohere, Airbyte, AWS |
|
|
| [Hybrid Search on PDF Documents](/documentation/examples/hybrid-search-llamaindex-jinaai/) | Develop a Hybrid Search System for Product PDF Manuals | Qdrant, LlamaIndex, Jina AI
|
|
| [Blog-Reading RAG Chatbot](/documentation/examples/rag-chatbot-scaleway/) | Develop a RAG-based Chatbot on Scaleway and with LangChain | Qdrant, LangChain, GPT-4o
|
|
| [Movie Recommendation System](/documentation/examples/recommendation-system-ovhcloud/) | Build a Movie Recommendation System with LlamaIndex and With JinaAI | Qdrant |
|
|
|
|
|
|
## Notebooks
|
|
|
|
Our Notebooks offer complex instructions that are supported with a throrough explanation. Follow along by trying out the code and get the most out of each example.
|
|
|
|
| Example | Description | Stack |
|
|
|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|----------------------------|
|
|
| [Intro to Semantic Search and Recommendations Systems](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_getting_started/getting_started.ipynb) | Learn how to get started building semantic search and recommendation systems. | Qdrant |
|
|
| [Search and Recommend Newspaper Articles](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_text_data/qdrant_and_text_data.ipynb) | Work with text data to develop a semantic search and a recommendation engine for news articles. | Qdrant |
|
|
| [Recommendation System for Songs](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_audio_data/03_qdrant_101_audio.ipynb) | Use Qdrant to develop a music recommendation engine based on audio embeddings. | Qdrant |
|
|
| [Image Comparison System for Skin Conditions](https://colab.research.google.com/github/qdrant/examples/blob/master/qdrant_101_image_data/04_qdrant_101_cv.ipynb) | Use Qdrant to compare challenging images with labels representing different skin diseases. | Qdrant |
|
|
| [Question and Answer System with LlamaIndex](https://github.com/qdrant/examples/blob/949669f001a03131afebf2ecd1e0ce63cab01c81/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb) | Combine Qdrant and LlamaIndex to create a self-updating Q&A system. | Qdrant, LlamaIndex, Cohere |
|
|
| [Extractive QA System](https://githubtocolab.com/qdrant/examples/blob/master/extractive_qa/extractive-question-answering.ipynb) | Extract answers directly from context to generate highly relevant answers. | Qdrant |
|
|
| [Ecommerce Reverse Image Search](https://githubtocolab.com/qdrant/examples/blob/master/ecommerce_reverse_image_search/ecommerce-reverse-image-search.ipynb) | Accept images as search queries to receive semantically appropriate answers. | Qdrant |
|
|
| [Basic RAG](https://githubtocolab.com/qdrant/examples/blob/master/rag-openai-qdrant/rag-openai-qdrant.ipynb) | Basic RAG pipeline with Qdrant and OpenAI SDKs. | OpenAI, Qdrant, FastEmbed |
|