retrieve_chunks gpt-oss-20b-groq

--- how do I retrieve chunks in a ragit knowledge-base? (--super-rerank) ---

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uid: bc7a93ce9
source: 1st chunk of docs/commands/retrieve-chunks.txt
title: Rag Retrieve Chunks Command
summary: The rag-retrieve-chunks command retrieves chunks relevant to a query, allowing for customization of retrieval and summary options, such as maximum retrieval, summaries, and output format, with additional features including super-rerank for improved results and configurable output formats like JSON.
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uid: 67c120c9b
source: 5th chunk of docs/ragithub/openapi.yaml
title: API Endpoints for Repository Management and Search
summary: This section of the API documentation describes endpoints for retrieving repository version, building search indexes, searching for chunks, pushing knowledge-bases, and tracking repository traffic, with various query parameters and response formats including JSON arrays and plain text, often used for managing and searching repository content.
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uid: c12ce6107
source: 2nd chunk of docs/ragithub/openapi.yaml
title: Ragithub API Endpoint Documentation (Continued)
summary: This text describes additional API endpoints for the Ragithub application, including retrieving chunk lists, individual chunks, image lists, and individual images, all of which are accessible via GET requests with parameters such as user ID, repository name, chunk or image UIDs, and prefixes.


--- How does the rust compiler implement type inference? I also wanna know whether it has subtyping. ---

--------------------------
uid: 655907271
source: 1st chunk of src/type-inference.md
title: Type Inference in Rust
summary: This section explains type inference in Rust, which is the automatic detection of an expression's type, reducing the need for explicit type annotations. It is based on the Hindley-Milner algorithm but extended for subtyping, region inference, and higher-ranked types. It covers how to create an inference context using `InferCtxt`, and how it houses inference variables (existential variables) like type variables (general, integral, float), region variables, and const variables. The primary function of these variables is to enforce equality or subtyping constraints between types, using the `infcx.at(...).eq(t, u)` method, which forces two types `T` and `U` to be the same.
--------------------------
uid: 71e275bf7
source: 3rd chunk of src/type-inference.md
title: Snapshots and Region Constraints in Rust Type Inference
summary: This section explains the usage of snapshots in Rust's type inference, allowing for the recording and rolling back of changes. It also discusses higher-level methods like `commit_if_ok` and `probe` that encapsulate snapshot patterns. The section further addresses subtyping obligations, emphasizing the conversion of subtyping constraints into equality constraints, especially when regions are involved. It details the process of generalizing region-bound types and the creation of region constraints, like `'?b: 'a`. Finally, it touches on the handling of relating two unbound type variables and the creation of `Subtype(?T, ?U)` obligations. It then introduces region constraints, which are collected as outlives relationships ('a: 'b') without immediate solving.
--------------------------
uid: eebf14e83
source: 4th chunk of src/type-inference.md
title: Region Constraints and Resolution in Rust Type Inference
summary: This section details how region constraints are handled differently from types in Rust's type inference. It describes the process of collecting constraints without eager unification, focusing on 'outlives' relationships. It highlights an exception for equality constraints between regions, where unification tables are used to record the equivalence. The section further explains how region constraints are solved at the end of typechecking using either lexical or non-lexical methods. It touches on leak-check during trait solving. Finally, the section describes the process of Lexical region resolution: initially assigning each region variable to an empty value and then growing region variables until a fixed-point is reached.
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uid: 9c77daaae
source: 2nd chunk of src/type-inference.md
title: Equality, Subtyping, and Snapshots in Rust Type Inference
summary: This section discusses the enforcement of equality and subtyping in Rust's type inference using methods like `infcx.at(...).eq(t, u)` and `infcx.at(..).sub(..)`. It explains how these methods work, their return types (`InferOk`), and the importance of fulfilling trait obligations. Additionally, it covers how to test the possibility of equating two types without errors using `infcx.can_eq` and `infcx.can_sub`, noting that these methods are modulo regions. The section also details the use of snapshots for rolling back side-effects of operations, enabling backtracking and ensuring atomic changes, with methods like `rollback_to` and `confirm` for managing these changes. It finally touches upon subtyping obligations, explaining how they can often be converted into equality constraints.


--- How does the rust compiler implement type inference? I also wanna know whether it has subtyping. (--super-rerank) ---

--------------------------
uid: 9c77daaae
source: 2nd chunk of src/type-inference.md
title: Equality, Subtyping, and Snapshots in Rust Type Inference
summary: This section discusses the enforcement of equality and subtyping in Rust's type inference using methods like `infcx.at(...).eq(t, u)` and `infcx.at(..).sub(..)`. It explains how these methods work, their return types (`InferOk`), and the importance of fulfilling trait obligations. Additionally, it covers how to test the possibility of equating two types without errors using `infcx.can_eq` and `infcx.can_sub`, noting that these methods are modulo regions. The section also details the use of snapshots for rolling back side-effects of operations, enabling backtracking and ensuring atomic changes, with methods like `rollback_to` and `confirm` for managing these changes. It finally touches upon subtyping obligations, explaining how they can often be converted into equality constraints.
--------------------------
uid: 655907271
source: 1st chunk of src/type-inference.md
title: Type Inference in Rust
summary: This section explains type inference in Rust, which is the automatic detection of an expression's type, reducing the need for explicit type annotations. It is based on the Hindley-Milner algorithm but extended for subtyping, region inference, and higher-ranked types. It covers how to create an inference context using `InferCtxt`, and how it houses inference variables (existential variables) like type variables (general, integral, float), region variables, and const variables. The primary function of these variables is to enforce equality or subtyping constraints between types, using the `infcx.at(...).eq(t, u)` method, which forces two types `T` and `U` to be the same.
--------------------------
uid: eebf14e83
source: 4th chunk of src/type-inference.md
title: Region Constraints and Resolution in Rust Type Inference
summary: This section details how region constraints are handled differently from types in Rust's type inference. It describes the process of collecting constraints without eager unification, focusing on 'outlives' relationships. It highlights an exception for equality constraints between regions, where unification tables are used to record the equivalence. The section further explains how region constraints are solved at the end of typechecking using either lexical or non-lexical methods. It touches on leak-check during trait solving. Finally, the section describes the process of Lexical region resolution: initially assigning each region variable to an empty value and then growing region variables until a fixed-point is reached.
--------------------------
uid: 71e275bf7
source: 3rd chunk of src/type-inference.md
title: Snapshots and Region Constraints in Rust Type Inference
summary: This section explains the usage of snapshots in Rust's type inference, allowing for the recording and rolling back of changes. It also discusses higher-level methods like `commit_if_ok` and `probe` that encapsulate snapshot patterns. The section further addresses subtyping obligations, emphasizing the conversion of subtyping constraints into equality constraints, especially when regions are involved. It details the process of generalizing region-bound types and the creation of region constraints, like `'?b: 'a`. Finally, it touches on the handling of relating two unbound type variables and the creation of `Subtype(?T, ?U)` obligations. It then introduces region constraints, which are collected as outlives relationships ('a: 'b') without immediate solving.