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 9 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☆167Updated 9 months ago
- Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.☆74Updated 3 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆128Updated 10 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 9 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
- Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.☆95Updated 3 weeks ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated 3 weeks ago
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆91Updated 9 months 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
- Workshop Studio☆158Updated 2 years ago
- ☆258Updated last year
- ☆191Updated 3 months ago
- ☆115Updated 3 months ago
- ☆42Updated 7 months ago
- ☆133Updated 3 weeks ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆95Updated last year
- ☆45Updated 10 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆36Updated last year
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆211Updated 3 weeks ago
- ☆42Updated last year
- ☆54Updated last year
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 8 months ago
- ☆70Updated last year
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆309Updated 2 weeks ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆31Updated last year
- Cloud-native, AI-powered, document processing pipelines on AWS.☆185Updated 9 months ago
- ☆24Updated last month
- A generative AI-powered framework for testing virtual agents.☆322Updated last week
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- Learn to build custom prompts and tools for LangChain agents☆40Updated last year