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LLM for Unity
v2.5.2
Create characters in Unity with LLMs!
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LLM for Unity
v2.5.2
Create characters in Unity with LLMs!
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Class implementing a search with a vector database. The search results are retrieved with Approximate Nearest Neighbor (ANN) which is much faster that SimpleSearch. More...
Public Attributes | |
| bool | advancedOptions = false |
| show/hide advanced options in the GameObject | |
| ScalarKind | quantization = ScalarKind.Float16 |
| The quantisation type used for vector data during indexing. | |
| MetricKind | metricKind = MetricKind.Cos |
| The metric kind used for distance calculation between vectors. | |
| ulong | connectivity = 32 |
| The connectivity parameter limits the connections-per-node in the graph. | |
| ulong | expansionAdd = 40 |
| The expansion factor used for index construction when adding vectors. | |
| ulong | expansionSearch = 16 |
| The expansion factor used for index construction during search operations. | |
 Public Attributes inherited from LLMUnity.SearchMethod | |
| LLMEmbedder | llmEmbedder |
Additional Inherited Members | |
| Public Member Functions inherited from LLMUnity.SearchMethod | |
| void | SetLLM (LLM llm) |
| Sets the LLM for encoding the search entries. | |
| async Task<(string[], float[])> | SearchFromList (string query, string[] searchList) |
| Orders the entries in the searchList according to their similarity to the provided query. The entries and distances (dissimilarity) to the query are returned in decreasing order of similarity. | |
| Public Member Functions inherited from LLMUnity.Searchable | |
| string | Get (int key) |
| Retrieves the phrase with the specific id. | |
| Task< int > | Add (string inputString, string group="") |
| Adds a phrase to the search. | |
| int | Remove (string inputString, string group="") |
| Removes a phrase from the search. | |
| void | Remove (int key) |
| Removes a phrase from the search. | |
| int | Count () |
| Returns a count of the phrases. | |
| int | Count (string group) |
| Returns a count of the phrases in a specific data group. | |
| void | Clear () |
| Clears the search object. | |
| Task< int > | IncrementalSearch (string queryString, string group="") |
| Allows to do search and retrieve results in batches (incremental search). | |
| ValueTuple< int[], float[], bool > | IncrementalFetchKeys (int fetchKey, int k) |
| Retrieves the most similar search results in batches (incremental search). The phrase keys and distances are retrieved, as well as a parameter that dictates whether the search is exhausted. | |
| void | IncrementalSearchComplete (int fetchKey) |
| Completes the search and clears the cached results for an incremental search. | |
| async Task<(string[], float[])> | Search (string queryString, int k, string group="") |
| Search for similar results to the provided query. The most similar results and their distances (dissimilarity) to the query are retrieved. | |
| virtual ValueTuple< string[], float[], bool > | IncrementalFetch (int fetchKey, int k) |
| Retrieves the most similar search results in batches (incremental search). The most similar results and their distances (dissimilarity) to the query are retrieved as well as a parameter that dictates whether the search is exhausted. | |
| void | Save (string filePath) |
| Saves the state of the search object. | |
| async Task< bool > | Load (string filePath) |
| Loads the state of the search object. | |
Class implementing a search with a vector database. The search results are retrieved with Approximate Nearest Neighbor (ANN) which is much faster that SimpleSearch.
Definition at line 17 of file DBSearch.cs.
| bool LLMUnity.DBSearch.advancedOptions = false |
show/hide advanced options in the GameObject
Definition at line 22 of file DBSearch.cs.
| ulong LLMUnity.DBSearch.connectivity = 32 |
The connectivity parameter limits the connections-per-node in the graph.
Definition at line 31 of file DBSearch.cs.
| ulong LLMUnity.DBSearch.expansionAdd = 40 |
The expansion factor used for index construction when adding vectors.
Definition at line 34 of file DBSearch.cs.
| ulong LLMUnity.DBSearch.expansionSearch = 16 |
The expansion factor used for index construction during search operations.
Definition at line 37 of file DBSearch.cs.
| MetricKind LLMUnity.DBSearch.metricKind = MetricKind.Cos |
The metric kind used for distance calculation between vectors.
Definition at line 28 of file DBSearch.cs.
| ScalarKind LLMUnity.DBSearch.quantization = ScalarKind.Float16 |
The quantisation type used for vector data during indexing.
Definition at line 25 of file DBSearch.cs.
1.10.0