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https://github.com/hwchase17/langchain
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This PR updates the Vectara integration (@hwchase17 ): * Adds reuse of requests.session to imrpove efficiency and speed. * Utilizes Vectara's low-level API (instead of standard API) to better match user's specific chunking with LangChain * Now add_texts puts all the texts into a single Vectara document so indexing is much faster. * updated variables names from alpha to lambda_val (to be consistent with Vectara docs) and added n_context_sentence so it's available to use if needed. * Updates to documentation and tests --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
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.. | ||
cassettes | ||
docarray | ||
docker-compose | ||
fixtures | ||
__init__.py | ||
conftest.py | ||
fake_embeddings.py | ||
test_analyticdb.py | ||
test_annoy.py | ||
test_atlas.py | ||
test_awadb.py | ||
test_chroma.py | ||
test_clickhouse.py | ||
test_deeplake.py | ||
test_elasticsearch.py | ||
test_faiss.py | ||
test_lancedb.py | ||
test_milvus.py | ||
test_mongodb_atlas.py | ||
test_myscale.py | ||
test_opensearch.py | ||
test_pgvector.py | ||
test_pinecone.py | ||
test_qdrant.py | ||
test_redis.py | ||
test_singlestoredb.py | ||
test_tair.py | ||
test_vectara.py | ||
test_weaviate.py | ||
test_zilliz.py |