aws-solutions-library-samples / guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-serviceLinks
This Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the deployment of interface nodes, including large language models (LLMs).
☆17Updated 10 months ago
Alternatives and similar repositories for guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-service
Users that are interested in guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-service are comparing it to the libraries listed below
Sorting:
- A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG☆170Updated 9 months ago
- Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.☆74Updated 4 months ago
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆42Updated last year
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆130Updated 10 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 9 months ago
- Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.☆95Updated last month
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆96Updated last year
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last month
- ☆192Updated 4 months ago
- ☆134Updated 2 weeks ago
- ☆116Updated 4 months ago
- Workshop Studio☆159Updated 2 years ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆92Updated last year
- ☆259Updated last year
- ☆71Updated last year
- ☆42Updated 8 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 9 months ago
- ☆54Updated last year
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆91Updated 10 months ago
- Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)☆64Updated last year
- ☆62Updated this week
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- ☆45Updated 10 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆314Updated 2 weeks ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆213Updated last week
- ☆122Updated 4 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆37Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆125Updated 2 months ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆99Updated 4 months ago
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆53Updated 2 months ago