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langchain/docs
Jeff Vestal d1f65d8dc1
Es knn index search 5346 (#5569)
# Create elastic_vector_search.ElasticKnnSearch class

This extends `langchain/vectorstores/elastic_vector_search.py` by adding
a new class `ElasticKnnSearch`

Features:
- Allow creating an index with the `dense_vector` mapping compataible
with kNN search
- Store embeddings in index for use with kNN search (correct mapping
creates HNSW data structure)
- Perform approximate kNN search
- Perform hybrid BM25 (`query{}`) + kNN (`knn{}`) search
- perform knn search by either providing a `query_vector` or passing a
hosted `model_id` to use query_vector_builder to automatically generate
a query_vector at search time

Connection options
- Using `cloud_id` from Elastic Cloud
- Passing elasticsearch client object

search options
- query
- k
- query_vector
- model_id
- size
- source
- knn_boost (hybrid search)
- query_boost (hybrid search)
- fields


This also adds examples to
`docs/modules/indexes/vectorstores/examples/elasticsearch.ipynb`


Fixes # [5346](https://github.com/hwchase17/langchain/issues/5346)

cc: @dev2049

 -->

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
..
_static
additional_resources
ecosystem
getting_started
integrations docs(integration): update colab and external links in WandbTracing docs (#5602) 1 year ago
modules Es knn index search 5346 (#5569) 1 year ago
reference Documentation fixes (linting and broken links) (#5563) 1 year ago
templates docs `ecosystem/integrations` update 3 (#5470) 1 year ago
tracing
use_cases
Makefile
conf.py
dependents.md
index.rst
integrations.rst
make.bat
reference.rst
requirements.txt