aws-samples / rag-using-langchain-amazon-bedrock-and-opensearchLinks
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
☆218Updated 5 months ago
Alternatives and similar repositories for rag-using-langchain-amazon-bedrock-and-opensearch
Users that are interested in rag-using-langchain-amazon-bedrock-and-opensearch are comparing it to the libraries listed below
Sorting:
- Workshop Studio☆155Updated last year
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆192Updated last week
- ☆250Updated 11 months ago
- Use LLMs for building real-world apps☆113Updated 5 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆162Updated 3 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆76Updated this week
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆117Updated 4 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆120Updated 4 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆243Updated 3 weeks ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆144Updated 3 months ago
- ☆65Updated last year
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆81Updated 6 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆287Updated 2 weeks ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆144Updated last month
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆77Updated 8 months ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆150Updated last week
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆86Updated last year
- ☆61Updated last year
- Learn how to quickly build Agents with Amazon Bedrock☆92Updated last year
- ☆93Updated last week
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆87Updated 3 months ago
- ☆81Updated last year
- A Python framework for multi-modal document understanding with Amazon Bedrock☆93Updated last week
- Build Generative AI applications with Langchain on AWS☆178Updated last year
- Foundation Model Evaluations Library☆256Updated 2 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆104Updated 2 weeks ago
- ☆154Updated 2 weeks ago
- ☆51Updated 2 months ago
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆63Updated this week
- ☆130Updated this week