mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
562fdfc8f9
# 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 --> |
||
---|---|---|
.. | ||
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 |