AI Code Search Tools Compared: Keyword, Semantic, and Hybrid (2026)

Which AI code search tool should you pick in 2026? For searching the code itself: Sourcegraph if you have more than a few dozen repositories and a $16,000 budget, GitHub code search if your code already lives on GitHub and you want it free, and the agentic grep built into Claude Code or Cursor if the consumer is a coding agent. None of those picks is Unblocked, because Unblocked is not a code search tool.

That distinction shows up in this year's survey. When developers need guidance, 82.7% turn to online search, 69.9% ask an AI agent, and 72% still ask a coworker (Stack Overflow Developer Survey 2026). The first two numbers are the market for AI code search tools. The third is the question search cannot answer, and it is where this comparison ends.

How do AI code search tools compare on pricing?#

Only one tool here publishes a contract floor. Sourcegraph's single plan starts at $16,000 a year with a minimum annual contract (Sourcegraph). Cursor, Claude Code, and Augment all start at $20 a month (Cursor, Claude, Augment Code). Four tools are free and open source. Every price below was checked on the vendor's live pricing page on October 6, 2026.

Read the table as two markets. The hosted search products price per seat or per contract and bundle an agent. The open-source indexers cost nothing to license and everything to operate. Unblocked sits in a third row because it indexes code alongside PRs, Slack, Jira, and Confluence, which none of the others do (Unblocked).

Is keyword, semantic, or hybrid search better for code?#

Keyword search matches tokens, semantic search matches meaning, and hybrid search runs both and reranks the union. Keyword engines like Zoekt build a trigram index that supports fast substring and regex matching (Zoekt). Semantic indexes find code "based on meaning, rather than relying solely on exact text matches with tools like grep" (GitHub Docs). Each is wrong in a predictable way.

Keyword search fails when you do not know the identifier: ask "where do we retry failed webhooks" and a trigram index needs the word retry to appear. Semantic search fails the other way, returning three functions that look like retry logic and missing the one named redeliver, and it needs an embedding index someone keeps fresh.

Hybrid tools exist because those failures are complementary, but the fusion step decides quality. CORE-Bench, a June 2026 benchmark built from code-search tasks and SWE-bench instances, reports "a sharp drop from traditional code search to code retrieval in agentic coding settings" for embedding models (arXiv 2606.11864). Our production data agrees: swapping the cross-encoder that picks our agent's memories for a calibrated judgment model raised precision of injected notes from 34.8% to 46.4% on 12,927 labeled pairs (our write-up). The index supplies candidates. The ranker decides what the model sees.

Hybrid keyword plus semantic search for code: best tools?#

Four tools combine a lexical index with a semantic or agentic layer, and they differ in which half does the work. Sourcegraph's Deep Search is "an agentic code search tool that understands natural language questions about your codebase" and runs "multiple modes of Sourcegraph's Code Search and Code Navigation features" as its tools (Sourcegraph Docs). The keyword index is the engine and the agent is the interface.

GitHub flips the order. Code search stays exact, with regex and symbol qualifiers (GitHub Docs), and Copilot Chat adds a semantic index per repository with "no limit to how many repositories you can index" (GitHub Docs). Augment's Context Engine is a semantic index for Augment's own agent, built automatically from your git directory (Augment Docs). Continue shipped embeddings plus keyword search in one package, the most literal hybrid here, but its repository is now read-only (Continue).

Strike Greptile from this list. It now sells "AI agents that review and test pull requests" (Greptile), and its $30 per seat Pro plan is priced for review (Greptile). For hybrid retrieval that reaches beyond code, our retrieval tools roundup scores that category separately.

AI code search tools compared: what does each hosted tool index?#

Five hosted tools cover the paid end of the category. Sourcegraph and GitHub maintain a server-side keyword index and add natural language on top. Claude Code and Cursor keep no server index and let an agent grep. Augment builds a semantic index for its own agent. Here is what each indexes, where it wins, and where it stops.

1. Sourcegraph: best for pure code search at scale#

Sourcegraph remains the tool to beat for searching code across many repositories. The core is regex and keyword full-text search with symbol, commit, and diff modes across any code host (Sourcegraph Docs), built on the Zoekt trigram index Sourcegraph has maintained since 2017. Deep Search adds an agent for plain-English questions, and an MCP server exposes the same search to Claude Code, Cursor, and Codex.

Where it wins: precision at scale, cross-repo references, batch changes. Where it stops: the only plan is Enterprise at $16,000 a year, Deep Search is web-only and excluded for bring-your-own-key customers, and the answers are still about code. The head-to-head with a context layer is in Unblocked vs Sourcegraph Cody. Starting price: $16,000 per year.

2. GitHub code search: best free option if you are on GitHub#

GitHub code search is exact-match search with regular expressions, boolean operators, and symbol qualifiers over every repository you can access. Results cap at 100 per query, files over 350 KiB and vendored or generated code are skipped, and very large repositories may stay unindexed (GitHub Docs). Copilot Chat adds the semantic layer, indexed automatically when you open a conversation with repository context.

Where it wins: zero setup and zero cost, with a semantic index that refreshes within seconds. Where it stops: the 100-result cap makes it a lookup tool rather than an audit tool, and it only sees GitHub. Starting price: free.

3. Cursor: best agentic grep inside an editor#

Cursor no longer ships a cloud embedding index for search. Its docs state that "Cursor does not upload file paths or code to build a search index, and it does not store embeddings of your codebase for search." Instant Grep "builds and queries its index on your machine" with full regex and word-boundary matching, and an Explore subagent runs the searches (Cursor Docs).

Where it wins: nothing leaves the laptop and there is no index to administer. Where it stops: every search costs tokens and a round trip, and the agent only knows the words it thinks to grep for. Starting price: free Hobby plan, then $20 per month.

4. Claude Code: best agentic grep in the terminal#

Claude Code takes the same no-index approach from the command line. Its search tools "find files by pattern, search content with regex, explore codebases," chained inside a gather-context, take-action, verify loop (Claude Code Docs). Code intelligence (jump to definition, find references) is a plugin rather than a default.

Where it wins: any repository you can cd into, with no vendor index and no code host dependency. Where it stops: one codebase question can burn dozens of tool calls, and nothing persists between sessions beyond CLAUDE.md and auto memory. Starting price: $20 per month on Pro, or $20 per seat per month on an annual Team plan with a two-seat minimum (Claude).

5. Augment Code: best semantic index bundled with an agent#

Augment's Context Engine is a hosted semantic index that feeds Augment's own agent and completions. Run its CLI from a git directory and the codebase "will be automatically indexed" (Augment Docs). Pricing is a flat $20 a month on Standard for up to 50 seats, with usage top-ups (Augment Code).

Where it wins: large codebases where retrieval by meaning beats guessing identifiers, at a flat price. Where it stops: the index serves Augment's agent first, the pricing page lists no free tier, and the context is code only. Starting price: $20 per month.

Which open source tools index a codebase for AI?#

Three open-source projects still answer this question in 2026, and each takes a different technique: a trigram index, a syntax-tree map, and an embeddings-plus-keyword hybrid. A fourth, Bloop, was archived on January 2, 2025 (Bloop). Underneath two of the survivors sits tree-sitter, "a parser generator tool and an incremental parsing library" (tree-sitter).

6. Zoekt: best self-hosted keyword index#

Zoekt is "a text search engine intended for use with source code," using trigram indexing for fast substring and regexp matching, with ranking that favors symbol matches. It is Apache 2.0, ships as a container image, and has been maintained by Sourcegraph since the 2017 fork (Zoekt). Where it wins: it is the same engine under Sourcegraph, free. Where it stops: you run the index server, and there is no semantic layer unless you build one. Starting price: free.

7. Aider repo map: best structural map for a model#

Aider does not search at all in the usual sense. It builds "a concise map of your whole git repository" from symbols and signatures, ranks files with a graph algorithm where edges are dependencies, and trims the map to a token budget that "defaults to 1k tokens" (Aider). Where it wins: the cheapest way to give a model a sense of the whole codebase. Where it stops: it is a map, not a query engine, and it only knows what tree-sitter can parse. Starting price: free, plus model API costs.

8. Continue: best hybrid reference, now read-only#

Continue combined local embeddings with keyword search and a tree-sitter-aware indexer, the most complete open hybrid on this list. Its @codebase provider is deprecated (Continue Docs), and the repository "is no longer actively maintained and is read-only for all users" after a final 2.0.0 release (Continue). Where it wins: a readable reference implementation. Where it stops: nobody is fixing bugs. Starting price: free.

Where does code search stop?#

Every tool above indexes code and only code. Subsplash shows the gap. Its sole software architect supports dozens of engineers and more than a thousand actively maintained repositories, and the questions he fields are rarely "where is this function." They are "why does this service do that," and the answer lives in a merged PR, a Slack thread, or a Jira ticket.

Unblocked is the context engine for engineering teams: it connects code with GitHub PRs, Slack, Jira, and Confluence, reasons across them, and answers with the decision behind the code, cited to its source, with each system's permissions enforced. It eliminates cross-repo archaeology at Subsplash's scale of 1,000+ repos, where an onboarding specialist reports 90% accuracy on complex data-structure questions that previously took hours.

Unblocked brings everything together. You don't have to go digging through tools. It just works.

Wade Bruce — CTO, Fetch

Where it wins: the why, served in Slack, the IDE, and to coding agents over MCP. Where it stops: it is not a replacement for Sourcegraph or grep when you need every call site of a function. The architecture-level version of this argument is in context engine vs enterprise search, and the one-query test is in search Slack, GitHub, and Jira in one query. Starting price: $29 per user per month on annual billing.

How do you choose an AI code search tool?#

Start from the consumer. If a person is searching, precision and a web UI matter, which favors Sourcegraph or GitHub. If an agent is searching, index upkeep and token cost matter, which favors agentic grep or a hosted semantic index. Then check what the tool can see beyond code, because that is the question the 72% of developers who still ask a coworker are asking.

Shortcuts: under 50 repos on GitHub, use GitHub code search and spend nothing. Hundreds of repos across hosts, budget for Sourcegraph. Agent-first team, let Claude Code or Cursor grep and skip the index. Questions that keep ending in Slack, add the context layer.

Frequently asked questions#

What is the best AI code search tool in 2026?#

For searching code, Sourcegraph for large multi-repo estates and GitHub code search if you are on GitHub and want it free. For a coding agent, the agentic grep in Claude Code or Cursor avoids maintaining an index. Questions about why code exists are a context engine's job.

Is semantic search better than keyword search for code?#

Neither wins outright. Keyword search is exact and fast but requires you to know the identifier. Semantic search finds code by meaning but misses exact names and needs a fresh embedding index. Hybrid tools fuse both, and a 2026 benchmark found embedding models drop sharply on agentic repository retrieval.

Which open source tools index a codebase for AI?#

Zoekt for a self-hosted trigram keyword index, Aider's repo map for a tree-sitter symbol graph trimmed to a token budget, and Continue for an embeddings-plus-keyword hybrid, though Continue's repository is now read-only. Bloop was archived in January 2025.

Does Cursor still index your codebase with embeddings?#

No. Cursor's current documentation says it does not store embeddings of your codebase for search. Instant Grep builds a local regex index on your machine and an Explore subagent runs the searches.

How is Unblocked different from AI code search tools?#

Unblocked does not replace code search. It answers questions by combining code with the PRs, Slack threads, Jira tickets, and Confluence pages around it, and serves that to people and to coding agents over MCP. Code search finds the function. Unblocked explains the decision behind it.

What to run this week#

Pick one real question your team asked in Slack this week and run it through two tools: the code search you already have, and whichever candidate from this list matches your consumer. If the code search answers it, you have a search problem and the pricing table above settles the budget. If the answer turns out to be in a PR description or a thread from two years ago, you have a context problem, and no amount of indexing code will fix it.

That second outcome is common enough that Fetch's CTO describes the fix as not having to go digging through tools. Unblocked connects code, discussions, tickets, and docs in one query, with a 21-day trial and no credit card. Ask it the question your search tool could not answer at getunblocked.com.