Never raises to the caller: a health check that raises on the exact
    condition it exists to detect defeats its own purpose. Connection
    failures are logged and reported in the result's ok/error fields
    instead, so a client renders them without a tool-call error round-trip.
    

    Fails with a clear error if a collection with this name already exists.

    Example (simple): {"collection_name": "docs", "vector_size": 4, "distance": "Cosine"}
    Example (hybrid): {"collection_name": "docs", "vectors": {
        "dense": {"size": 4, "distance": "Cosine"}
    }, "sparse_vectors": {"sparse": {}}}
    

    Example: {}
    

    Fails with a clear error if the collection doesn't exist.

    Example: {"collection_name": "docs"}
    

    Only the fields you pass are changed; omitted ones keep their current
    value. `quantization_config="disabled"` turns quantization off.
    `vectors_config`/`sparse_vectors_config` only **adjust** named
    vectors that already exist (HNSW/quantization/index tuning) — they
    cannot add a new one; use `qdrant_collection_vector_create` for
    that, or this fails with Qdrant's own "Not existing vector name"
    error. Fails with a clear error if the collection doesn't exist.

    Example: {"collection_name": "docs", "optimizers_config": {"indexing_threshold": 10000}}
    

    Example: {"collection_name": "docs"}
    

    Example: {"collection_name": "docs"}
    

    Fails with a clear error if the collection doesn't exist.

    Example: {"collection_name": "docs", "points": [
        {"id": 1, "vector": [0.1, 0.2, 0.3, 0.4], "payload": {"city": "ny"}}
    ]}
    

    Fails only if the collection itself doesn't exist.

    Example: {"collection_name": "docs", "ids": [1, 2]}
    

    Deleting an id that doesn't exist is not an error (Qdrant treats it as
    a no-op); this only fails if the collection itself is missing, or if
    you provide zero or both selectors.

    Example (by id): {"collection_name": "docs", "ids": [1, 2]}
    Example (by filter): {"collection_name": "docs", "points_filter": {
        "must": [{"key": "city", "match": {"value": "ny"}}]
    }}
    

    Pass the returned `next_page_offset` as `offset` to fetch the next
    page; `null` means there are no more pages.

    Example: {"collection_name": "docs", "limit": 50}
    

    Example: {"collection_name": "docs"}
    

    Pass `query_vector` (a literal vector, or a point id to reuse an
    existing point's vector) for a plain nearest-vector query, or
    `fusion` + 2+ `prefetch` stages to combine multiple retrieval
    strategies via Reciprocal Rank Fusion (`fusion="rrf"`) or
    Distribution-Based Score Fusion (`fusion="dbsf"`) — exactly one of
    `query_vector`/`fusion` is required. `using` selects a named vector;
    `lookup_from` resolves `query_vector` from a point id in another
    collection instead of the current one. Fails with a clear error if
    the collection doesn't exist.

    Example (plain): {"collection_name": "docs", "query_vector": [0.1, 0.2, 0.3, 0.4],
        "limit": 5}
    Example (hybrid): {"collection_name": "docs", "fusion": "rrf", "prefetch": [
        {"query_vector": [0.1, 0.2, 0.3, 0.4], "using": "dense", "limit": 20},
        {"query_vector": [0.5, 0.5], "using": "sparse", "limit": 20}
    ], "limit": 5}