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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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| ai21.ipynb | ||
| aleph_alpha.ipynb | ||
| anyscale.ipynb | ||
| azure_openai_example.ipynb | ||
| banana.ipynb | ||
| beam.ipynb | ||
| bedrock.ipynb | ||
| cerebriumai_example.ipynb | ||
| cohere.ipynb | ||
| ctransformers.ipynb | ||
| databricks.ipynb | ||
| deepinfra_example.ipynb | ||
| forefrontai_example.ipynb | ||
| google_vertex_ai_palm.ipynb | ||
| gooseai_example.ipynb | ||
| gpt4all.ipynb | ||
| huggingface_hub.ipynb | ||
| huggingface_pipelines.ipynb | ||
| huggingface_textgen_inference.ipynb | ||
| jsonformer_experimental.ipynb | ||
| llamacpp.ipynb | ||
| manifest.ipynb | ||
| modal.ipynb | ||
| mosaicml.ipynb | ||
| nlpcloud.ipynb | ||
| openai.ipynb | ||
| openlm.ipynb | ||
| petals_example.ipynb | ||
| pipelineai_example.ipynb | ||
| predictionguard.ipynb | ||
| promptlayer_openai.ipynb | ||
| rellm_experimental.ipynb | ||
| replicate.ipynb | ||
| runhouse.ipynb | ||
| sagemaker.ipynb | ||
| stochasticai.ipynb | ||
| writer.ipynb | ||