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{ | ||
"name": "Restaurant Search Application", | ||
"key": "AI-Phil-RestSearch", | ||
"description": "This is a technology demonstrator that combines vector similarity search with a secondary geographic radius filter.", | ||
"duration": "2h", | ||
"skillLevel": "Intermediate", | ||
"netlifyUrl": "", | ||
"gitpodUrl": "", | ||
"vercelUrl": "", | ||
"urls": { | ||
"github": "https://github.com/qzg/streamlit-langchain/tree/main", | ||
"heroimage": "https://raw.githubusercontent.com/AI-Phil/RestSearch/main/readme/homepage.png" | ||
}, | ||
"tags": ["vector", "nodejs", "openstreetmap", "openai", "docker"], | ||
"category": "", | ||
"priority": 1 | ||
} |
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"graphql api", | ||
"astradb", | ||
"cassandra", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"graphql api", | ||
"tutorials", | ||
"ds-bulk", | ||
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"react", | ||
"netlify", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"dev", | ||
"deprecated", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"workshop", | ||
"dev", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"dev", | ||
"ds-bulk", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"cassandra", | ||
"ds-bulk", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"timeseries db", | ||
"dev", | ||
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"cassandra", | ||
"gitpod", | ||
"deprecated", | ||
"deprecated", | ||
"graphql api", | ||
"netlify", | ||
"nosql", | ||
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"workshop", | ||
"nosql", | ||
"deprecated", | ||
"deprecated", | ||
"graphql api", | ||
"gitpod", | ||
"astradb", | ||
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"tags": [ | ||
"javascript", | ||
"deprecated", | ||
"deprecated", | ||
"doc api", | ||
"workshop", | ||
"cassandra", | ||
|
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{ | ||
"key": "cassioml-langchain-hotels-app", | ||
"tags": ["vector", "astradb", "python", "cassio", "langchain"], | ||
"urls": { | ||
"github": "https://github.com/awesome-astra/docs", | ||
"heroimage": "https://raw.githubusercontent.com/awesome-astra/docs/main/docs/img/vector_demos/vector_demos.png", | ||
"readme": "https://github.com/awesome-astra/docs/blob/main/docs/pages/aiml/llm/vector_demos.md" | ||
}, | ||
"name": "Vector Demos", | ||
"description": "Vector Search and GenAI, a curated collection of demo notebooks and apps.", | ||
"duration": "2h", | ||
"skilllevel": "Intermediate", | ||
"priority": 1 | ||
} |
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{ | ||
"key": "cassioml-langchain-hotels-app", | ||
"tags": ["vector", "astradb", "python", "cassio", "langchain"], | ||
"urls": { | ||
"github": "https://github.com/cassioml/langchain-hotels-app", | ||
"heroimage": "https://raw.githubusercontent.com/cassioml/langchain-hotels-app/main/hotels_animated.gif" | ||
}, | ||
"forks_count": 1, | ||
"stargazers_count": 4, | ||
"name": "Hotels LLM Demo", | ||
"description": "A full demo app (API + front-end) to search and review hotels, powered by GenAI, LLMs and embedding vectors.", | ||
"duration": "2h", | ||
"skilllevel": "Intermediate", | ||
"priority": 1 | ||
} |
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{ | ||
"key": "krishnannarayanaswamy-bank-ragstax-demo", | ||
"tags": ["vector", "astradb", "data api", "ragstax"], | ||
"urls": { | ||
"github": "https://github.com/krishnannarayanaswamy/bank-ragstax-demo", | ||
"heroimage": "https://raw.githubusercontent.com/datastaxdevs/gallery_content_loader/main/datastax-logo_square.png" | ||
}, | ||
"last_modified": "Fri, 03 Nov 2023 02:24:45 GMT", | ||
"forks_count": 0, | ||
"stargazers_count": 0, | ||
"name": "Bank Ragstax Demo", | ||
"description": "A demo that demonstrates Astra RAGStax platform, Streamlit interface for a chatbot and DataStax Astra as Vector Store.", | ||
"duration": "2h", | ||
"skilllevel": "Intermediate", | ||
"priority": 1, | ||
"readme": "<p>A demo that demonstrates Astra RAGStax platform, Streamlit interface for a chatbot and DataStax Astra as Vector Store.</p>\n<p>Create Astra account, enable RAGStax, create vector database, download the secure bundle and create a token<br />\nCreate a folder named config<br />\nStore the Astra token in json format<br />\nStore the secure connect bundle</p>\n<p>Create a Streaming tenant and Astra and enable RAGStax on it.</p>\n<p>Install langstream in your computer for CLI</p>\n<p>export KAFKA_BOOTSTRAP_SERVERS=""<br />\nexport KAFKA_USERNAME=""<br />\nexport KAFKA_PASSWORD=""<br />\nexport OPEN_AI_ACCESS_KEY=""<br />\nexport ASTRA_CLIENT_ID=""<br />\nexport ASTRA_SECRET=""<br />\nexport ASTRA_TOKEN=""<br />\nexport ASTRA_DATABASE=<br />\nexport S3_BUCKET_NAME=<br />\nexport S3_ENDPOINT=<br />\nexport S3_ACCESS_KEY=<br />\nexport S3_SECRET=<br />\nexport S3_REGION=</p>\n<p>ragstack apps deploy ragstax-astra-demo -app app -i instances/astra.yaml -s secrets/secrets.yaml</p>\n<p>Review logs using</p>\n<p>ragstack apps logs ragstax-astra-demo</p>\n<p>Review and Change the code in frontend/chatbot.py based on your config files, keyspace and table names.</p>\n<p>export ASTRA_DB_APPLICATION_TOKEN=""<br />\nexport ASTRA_DB_ID=""<br />\nexport ASTRA_DB_KEYSPACE=""</p>\n<p>streamlit run frontend/chatbot.py</p>\n", | ||
"readme_markdown": "A demo that demonstrates Astra RAGStax platform, Streamlit interface for a chatbot and DataStax Astra as Vector Store.\n\nCreate Astra account, enable RAGStax, create vector database, download the secure bundle and create a token\nCreate a folder named config\nStore the Astra token in json format\nStore the secure connect bundle\n\nCreate a Streaming tenant and Astra and enable RAGStax on it. \n\nInstall langstream in your computer for CLI\n\nexport KAFKA_BOOTSTRAP_SERVERS=\"\"\nexport KAFKA_USERNAME=\"\"\nexport KAFKA_PASSWORD=\"\"\nexport OPEN_AI_ACCESS_KEY=\"\"\nexport ASTRA_CLIENT_ID=\"\"\nexport ASTRA_SECRET=\"\"\nexport ASTRA_TOKEN=\"\"\nexport ASTRA_DATABASE=\nexport S3_BUCKET_NAME=\nexport S3_ENDPOINT=\nexport S3_ACCESS_KEY=\nexport S3_SECRET=\nexport S3_REGION=\n\nragstack apps deploy ragstax-astra-demo -app app -i instances/astra.yaml -s secrets/secrets.yaml\n\nReview logs using\n\nragstack apps logs ragstax-astra-demo\n\nReview and Change the code in frontend/chatbot.py based on your config files, keyspace and table names.\n\nexport ASTRA_DB_APPLICATION_TOKEN=\"\"\nexport ASTRA_DB_ID=\"\"\nexport ASTRA_DB_KEYSPACE=\"\"\n\nstreamlit run frontend/chatbot.py", | ||
"_id": "krishnannarayanaswamy-bank-ragstax-demo" | ||
} |
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