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Graph/tokenized-or-search

Pattern

Tokenized OR Search Logic

tokenized-or-search

A recurring search-shaping motif where whitespace-separated tokens are combined using OR-like semantics (row matches if any token applies) and then implemented via iterative filtering and partial, case-insensitive regex matching.

Node Details

Public graph metadata

Updated4/30/2026

Connections

30 linked nodes

Implementing a shadcn-based searchable select where the dropdown list should appear only after the user types something into the input (like Google’s search suggestions).

it keeps converting the multi-valued search param 'fruits' (string[]) to comma separator — I am using React-Router `useNavigate()` to navigate to another webpage after selecting the column filters. Tension: making my query string look like this instead - `"type=fruit&filter=sour,sweet"` instead of using ampersand separator e.g. `"filter=sour&filter=sweet"`. Outcome: I tried many methods such as conversion and replace but it didnt work.

I basically want the search bar to be able to global search for multiple strings separated by a whitespace — create a reactable with R. Tension: the terms does not need to be in the same column, but need to be in the same row. Outcome: I am struggling to do so.

vector-dedup and semantic-search integration tests. Tension: the dimension gap looked like it forced either paid API keys in CI or invasive schema parameterization. Outcome: every embedding-dependent test skipped or failed.

Finding duplicate objects in an S3 bucket by metadata values requires a way to search matching objects

a large fraction of edges silently fail to resolve and get dropped — A two-stage LLM extraction pipeline. Tension: the nodes ingest fine but the resulting graph has almost no edges — and nothing errors, so it's easy to miss. Outcome: resolve each edge's endpoints to node ids by an EXACT (type, description) match.

I want to check if Value_Name with Value exists in any of the elements in Inner array — I have an PostgreSQL database with complex JSON structures. Tension: I think I should be able to do it with the `@>` operator but can't seem to get it working. Outcome: Can anyone suggest what I can do search the array?

Repeating the name with each sample. Tension: an extremely inefficient use of space. Outcome: results in an order of magnitude improvement in storage efficiency.

The sentences in the database can have their words in any order (rearranged). — retrieve all rows from a PostgreSQL database that contain sentences similar to a provided string. Tension: The answer should return all 4 of the above rows. Outcome: It looks like fairly simple full text search can produce the results you described.

The problem is that the search results are pretty bad. — I am trying to implement semantic/vector search for images. Tension: When I search for "straight outta", I have to turn down the similary treshold to 0.15 to get both results.

looking for a name of 'L2 Kids'. Tension: exact matches aren't returned with queries that are two characters long. Outcome: Should I simply use ilike for searches less than 3 characters?

I am getting the dates in 2 different format — I am working on a data movement where the source is MongoDB and target is Redshift. Outcome: tried using the regex to remove the string part in the format1 and apply the same logic for the upcoming data as well but I am unable to get the correct query.

Two string constants that are only separated by whitespace with at least one newline are concatenated — in PostgreSQL. Tension: I have been trying to determine if the second form, where the `||` string concatenation operator is omitted, is officially supported. Outcome: This slightly bizarre behavior is specified by SQL; PostgreSQL is following the standard.

I tried using a combination of split_part(), but the problem is that there is a varying number of parts — I have a column with strings that look like this. Tension: I couldn'd find a solution that properly works. Outcome: keep the first 2 OR 3 parts of the string.

Filter rows from a table so that records with sensorfield1 flag = 'r' are selected, except for IDs that have corresponding rows with flag = 'h'; for IDs where flag value is only 'h', include those rows as well. Denodo throws an error when attempting a solution using analytic/window functions: '(function) is not executable'.

When sensitive fields are encrypted in PostgreSQL, queries using WHERE (e.g., exact match) cannot efficiently filter rows because the encrypted values cannot be compared without decrypting them. This makes encrypted-field searches slow and impractical at scale.

If someone got access to the server logs, is it possible to correlate multiple requests from one user — include postcode and/or last name in a query string. Tension: could result in that person being identified by combining their postcode and last name. Outcome: it seems they do customer searches with a query string, but Salesforce does it with a POST.

String predicate handling still allows arbitrary SQL and information disclosure

A Gremlin traversal in OrientDB using a large OR/AND filter (multiple (Name, Mobile_Number) pairs) fails to return the expected vertices, or takes too long to execute.

foo between bar — For these strings, I want to grab everything between `foo` and `bar`. Tension: My current effort is `(?https://regex101.com/r/hccbUh/1. Outcome: Given this `(?https://regex101.com/r/IAQgB5/1.

On Java, however, I will match the `g` in `string` as group 1, and `MyString` as group 2. Tension: To me this regex implies that a character matching `[A-Za-z\d]` should only be matched if it directly precedes `MyString`, which is not the case here. Outcome: How can I avoid that and not match this `g`?

how to filter orders with the remark field containing certain word? — my model order has a text field as: order.remark. Tension: user might type in a lot of information without enter space. Outcome: how to effectively filter the orders?

It works, sort of, but the result adds an extra quote to my string. — I need to annotate a value that is saved in a json field in the same model. Tension: I need it to be cast to text/char in the query because a subsequent search will only work on text/char (trigram similarity).

Simple description-based deduplication doesn't work well because: — context entities like programming languages, packages, and operating systems need deduplication across sessions. Outcome: Vector similarity dedup (cosine threshold) is too fuzzy for enumerable named entities.

retrieval scoring omitted recency decay, normalized momentum, live-state retrieval bias, and multiplicative tier boost — A Phase 3 memory subsystem review found deviations from the authoritative memory spec. Tension: short-term memories were still eligible for episodic retrieval; the memory daemon did not reconnect after LISTEN connection errors; ILIKE patterns used unescaped user text; extractor errors could disappear from fire-and-forget timeouts; and memory migrations lacked partitioning/seed data details. Outcome: Read the corrective spec and compared it against the current TypeScript memory implementation, migrations, and tests.

After a documentation/template merge. Tension: The intended behavior was only that search remains the primary error-handling entry point, while the template may still list richer graph traversal tools elsewhere. Outcome: a behavioral template test failed.

integer underflow vulnerability in the search_impl function — When searching backward for a pattern within a string. Tension: the calculation of the remaining 'post' substring size uses a flawed formula. Outcome: This leads to memory corruption when the oversized substring is later accessed.

generates edge types with spaces — e.g. "REQUIRES Package" instead of "REQUIRES" — During knowledge graph ETL extraction, the Dionysus relation extraction phase (Sonnet) sometimes generates edge types with spaces. Tension: This blocks the entire extraction batch — no edges get written for any pair in the batch. Outcome: Neo4j to throw: `Invalid input 'Package': expected a parameter, '&', '*', ':', 'WHERE', ']', '{' or '|'`. The error is a Neo.ClientError.Statement.SyntaxError (42N32).

MCP graph traversal tools (e.g., burst/explore/recall) were returning full node properties for every node in a multi-hop result, causing large responses (3,000–8,000 tokens per call). This token bloat wastes context because agents usually only need to inspect a few nodes before deciding what to expand.

a syllable stress analyzer for multisyllabic rhyme schemes. Tension: he'd absolutely build a tool to map rhyme density and internal scheme complexity. Outcome: second project.

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