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# Bedrock LLM and Embeddings This PR adds a new LLM and an Embeddings class for the [Bedrock](https://aws.amazon.com/bedrock) service. The PR also includes example notebooks for using the LLM class in a conversation chain and embeddings usage in creating an embedding for a query and document. **Note**: AWS is doing a private release of the Bedrock service on 05/31/2023; users need to request access and added to an allowlist in order to start using the Bedrock models and embeddings. Please use the [Bedrock Home Page](https://aws.amazon.com/bedrock) to request access and to learn more about the models available in Bedrock. <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> |
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| .. | ||
| agents | ||
| callbacks | ||
| chains | ||
| indexes | ||
| memory | ||
| models | ||
| prompts | ||
| utils/examples | ||
| agents.rst | ||
| chains.rst | ||
| indexes.rst | ||
| memory.rst | ||
| models.rst | ||
| paul_graham_essay.txt | ||
| prompts.rst | ||
| state_of_the_union.txt | ||