forked from Archives/langchain
0118706fd6
### Description This PR adds a wrapper which adds support for the OpenSearch vector database. Using opensearch-py client we are ingesting the embeddings of given text into opensearch cluster using Bulk API. We can perform the `similarity_search` on the index using the 3 popular searching methods of OpenSearch k-NN plugin: - `Approximate k-NN Search` use approximate nearest neighbor (ANN) algorithms from the [nmslib](https://github.com/nmslib/nmslib), [faiss](https://github.com/facebookresearch/faiss), and [Lucene](https://lucene.apache.org/) libraries to power k-NN search. - `Script Scoring` extends OpenSearch’s script scoring functionality to execute a brute force, exact k-NN search. - `Painless Scripting` adds the distance functions as painless extensions that can be used in more complex combinations. Also, supports brute force, exact k-NN search like Script Scoring. ### Issues Resolved https://github.com/hwchase17/langchain/issues/1054 --------- Signed-off-by: Naveen Tatikonda <navtat@amazon.com> |
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ai21.md | ||
cerebriumai.md | ||
chroma.md | ||
cohere.md | ||
forefrontai.md | ||
google_search.md | ||
google_serper.md | ||
gooseai.md | ||
hazy_research.md | ||
helicone.md | ||
huggingface.md | ||
nlpcloud.md | ||
openai.md | ||
opensearch.md | ||
petals.md | ||
pinecone.md | ||
promptlayer.md | ||
runhouse.md | ||
searx.md | ||
serpapi.md | ||
unstructured.md | ||
weaviate.md | ||
wolfram_alpha.md |