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Description: Adding Summarization to Vectara, to reflect it provides not only vector-store type functionality but also can return a summary. Also added: MMR capability (in the Vectara platform side) Updated templates Updated documentation and IPYNB examples Tag maintainer: @baskaryan Twitter handle: @ofermend --------- Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com> |
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.. | ||
docarray | ||
redis | ||
__init__.py | ||
alibabacloud_opensearch.py | ||
analyticdb.py | ||
annoy.py | ||
astradb.py | ||
atlas.py | ||
awadb.py | ||
azure_cosmos_db.py | ||
azuresearch.py | ||
bageldb.py | ||
baiducloud_vector_search.py | ||
cassandra.py | ||
chroma.py | ||
clarifai.py | ||
clickhouse.py | ||
dashvector.py | ||
databricks_vector_search.py | ||
deeplake.py | ||
dingo.py | ||
elastic_vector_search.py | ||
elasticsearch.py | ||
epsilla.py | ||
faiss.py | ||
hippo.py | ||
hologres.py | ||
jaguar.py | ||
lancedb.py | ||
llm_rails.py | ||
marqo.py | ||
matching_engine.py | ||
meilisearch.py | ||
milvus.py | ||
momento_vector_index.py | ||
mongodb_atlas.py | ||
myscale.py | ||
neo4j_vector.py | ||
nucliadb.py | ||
opensearch_vector_search.py | ||
pgembedding.py | ||
pgvecto_rs.py | ||
pgvector.py | ||
pinecone.py | ||
qdrant.py | ||
rocksetdb.py | ||
scann.py | ||
semadb.py | ||
singlestoredb.py | ||
sklearn.py | ||
sqlitevss.py | ||
starrocks.py | ||
supabase.py | ||
surrealdb.py | ||
tair.py | ||
tencentvectordb.py | ||
tigris.py | ||
tiledb.py | ||
timescalevector.py | ||
typesense.py | ||
usearch.py | ||
utils.py | ||
vald.py | ||
vearch.py | ||
vectara.py | ||
vespa.py | ||
weaviate.py | ||
xata.py | ||
yellowbrick.py | ||
zep.py | ||
zilliz.py |