This repo is inspired by Greg Kamradt's Github repo.
Notebook Amazon Bedrock & Langchain Sample Solutions.ipynb containing sample solutions using Amazon BedRock & Langchain for top 10 GenAI use cases
- Text Generation
- Summarization - One of the most common use case with LLM
- Question and Answering Over Documents - Use information held within documents to answer questions or query
- Extraction - Pull structured data from a body of text or an user query
- Evaluation - Understand the quality of output from your application
- Extraction and Enforce Output Format - Another approach using Pydantic & JsonOutputParser
- Querying Tabular Data - Pull data from databases or other tabular source
- Code Understanding - Reason about and digest code
- Chatbots - A framework to have a back and forth interaction with a user combined with memory in a chat interface
- Agents - Use LLMs to make decisions about what to do next. Enable these decisions with tools.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.